{"id":"W2612571528","doi":"10.1002/asi.23817","title":"Boundary objects in information science","year":2017,"lang":"en","type":"article","venue":"Journal of the Association for Information Science and Technology","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Western University; University of Toronto","funders":"","keywords":"Boundary (topology); Liminality; Computer science; Information science; Range (aeronautics); Data science; Epistemology; Sociology; Library science; Mathematics; Anthropology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005494244,0.0008595351,0.001451456,0.008336755,0.003893948,0.01271766,0.00127504,0.005742727,0.005229631],"category_scores_gemma":[0.009676585,0.0005226924,0.0007450013,0.01064234,0.02450408,0.02076793,0.005343481,0.005754678,0.001456521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004452165,"about_ca_system_score_gemma":0.003527855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002701684,"about_ca_topic_score_gemma":0.001230366,"domain_scores_codex":[0.9933991,0.00297151,0.0005336283,0.0008676239,0.001885805,0.0003423116],"domain_scores_gemma":[0.990957,0.006924839,0.0004601105,0.0006688987,0.0007151719,0.0002740329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002567605,0.00000373237,0.00006531049,0.0002075937,0.000005157391,0.00002775318,0.0007420756,0.0001506315,0.00003691521,0.988535,0.001436382,0.008786787],"study_design_scores_gemma":[0.000003192324,0.000006959921,0.0001269144,0.0003240146,0.000004641407,0.00008412157,0.0004152552,0.000329213,0.00006210578,0.9415019,0.05713018,0.0000114528],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01031926,0.5046459,0.1666655,0.0337116,0.004106292,0.0001881368,0.0002972089,0.0002729159,0.2797932],"genre_scores_gemma":[0.4493477,0.4164019,0.08734025,0.01041411,0.01331479,0.0007668365,0.0005427903,0.0002036285,0.02166795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.996106,"threshold_uncertainty_score":0.03230292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085035861368246,"score_gpt":0.2887037583266438,"score_spread":0.2778533997129614,"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."}}