{"id":"W2915192376","doi":"10.1002/asi.24153","title":"“Connections above and beyond”: Information, translation, and community boundaries in LibraryThing and Goodreads","year":2019,"lang":"en","type":"article","venue":"Journal of the Association for Information Science and Technology","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Florida State University; Beta Phi Mu","keywords":"Sociotechnical system; Online community; Knowledge management; Boundary object; Boundary (topology); Sociology; Information sharing; Computer science; World Wide Web; Boundary-work; Knowledge sharing; Interpersonal ties; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["scholarly_communication"],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.009097821,0.0004168901,0.0006046333,0.003709525,0.0137566,0.01401496,0.001321382,0.002219428,0.005525205],"category_scores_gemma":[0.03170875,0.0004899867,0.0003495094,0.002813395,0.02603357,0.01375148,0.0166505,0.002135218,0.0004297634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004734142,"about_ca_system_score_gemma":0.004963222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007985743,"about_ca_topic_score_gemma":0.01251572,"domain_scores_codex":[0.9854439,0.01110176,0.0004350609,0.0009145692,0.001118391,0.0009863956],"domain_scores_gemma":[0.9720073,0.01932024,0.002966365,0.001933069,0.001335886,0.002437152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002801294,0.00004297368,0.003033625,0.00007158952,0.000003656287,0.0003037561,0.9771328,0.00001566891,0.0002649974,0.009638119,0.00029605,0.009168668],"study_design_scores_gemma":[0.0000107477,0.00004584844,0.004933381,0.0001679184,0.000009254634,0.0002497473,0.9602209,0.00008987766,0.0004123119,0.01176525,0.02206734,0.00002729865],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9375103,0.00101369,0.003522506,0.004003276,0.00008814924,0.00008982689,0.00002696982,0.00005439088,0.05369085],"genre_scores_gemma":[0.9950057,0.0001485798,0.0007493764,0.0002970333,0.00001642913,0.00003007817,0.00001160978,0.00002201189,0.003719186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.985985,"threshold_uncertainty_score":0.04811442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286561345375988,"score_gpt":0.2638654217886759,"score_spread":0.250999808334916,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}