{"id":"W3124173109","doi":"10.7146/njlis.v1i2.120437","title":"“This is really interesting. I never even thought about this.” Methodological strategies for studying invisible information work.","year":2020,"lang":"en","type":"article","venue":"Nordic Journal of Library and Information Studies","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Western University","funders":"","keywords":"Visibility; Work (physics); Order (exchange); Visual research; Sociology; Epistemology; Data science; Computer science; Visual arts; Engineering; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006489666,0.0001716108,0.0003711615,0.0003756643,0.0002744802,0.0004646101,0.0004552386,0.0001058965,0.00003861401],"category_scores_gemma":[0.0004939499,0.0001276536,0.00008358465,0.0006526808,0.0001052028,0.0684236,0.0003774646,0.0004330233,0.00001991716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002036364,"about_ca_system_score_gemma":0.0001011094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.724972e-7,"about_ca_topic_score_gemma":2.719204e-8,"domain_scores_codex":[0.9982996,0.0001140748,0.001062226,0.00009730024,0.0002449486,0.0001818595],"domain_scores_gemma":[0.9978294,0.0004532145,0.001123476,0.0001199804,0.0004200786,0.00005381939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007998608,0.0000488734,0.00339069,0.0005496803,0.0008368846,0.000007796114,0.1327447,0.0001651458,0.0001297896,0.3776767,0.2155453,0.2681046],"study_design_scores_gemma":[0.004062142,0.004048645,0.01279489,0.001014155,0.000132933,0.0002684505,0.05574933,0.009542353,0.004223678,0.03099116,0.8761933,0.0009789657],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06280472,0.001521336,0.8673293,0.04846407,0.001188071,0.0006318641,0.0000141933,0.0003280182,0.01771844],"genre_scores_gemma":[0.6900246,0.002003677,0.2617698,0.04550265,0.0004225585,0.0000415016,0.00001749549,0.00001346873,0.000204304],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.660648,"threshold_uncertainty_score":0.9446059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1592604590670115,"score_gpt":0.3519105190339391,"score_spread":0.1926500599669276,"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."}}