{"id":"W2067705512","doi":"10.1177/0306312704043767","title":"Mapping Collaborative Work and Innovation in Biomedicine","year":2004,"lang":"en","type":"article","venue":"Social Studies of Science","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; McGill University","funders":"","keywords":"Biomedicine; Confusion; Scale (ratio); Scope (computer science); Sociology; Medicine; Psychology; Computer science; Biology; Bioinformatics; Geography","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00165177,0.00004201606,0.0001051936,0.0003787429,0.001049363,0.00002639041,0.000109489,0.00002727228,0.000003443898],"category_scores_gemma":[0.001396193,0.0000405301,0.000004809925,0.01509122,0.00531167,0.000290301,0.00003689133,0.00004162715,8.302623e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002884296,"about_ca_system_score_gemma":0.0007342844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001684309,"about_ca_topic_score_gemma":0.0005332851,"domain_scores_codex":[0.9991137,0.00003327315,0.0002031694,0.0001320582,0.0003692891,0.0001484618],"domain_scores_gemma":[0.998923,0.00004515492,0.0001259538,0.00003221611,0.0008537291,0.00001996192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00000547286,0.0000354205,0.008675155,0.000007121728,0.000004643338,2.375096e-7,0.5754181,0.000004100389,0.001051771,0.4064124,0.0002078907,0.008177677],"study_design_scores_gemma":[0.000342975,0.00002765596,0.09211205,0.0000525479,0.00000185602,2.862253e-8,0.8752258,2.616309e-7,0.0003681374,0.02483167,0.006954244,0.00008280225],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970786,0.0004047519,0.00003782411,0.02090373,0.0004091352,0.0001624343,8.834184e-7,0.00001212964,0.007283123],"genre_scores_gemma":[0.9988774,0.0001946694,0.0005647722,0.0001621477,0.0001177503,0.00001157124,3.3687e-7,0.000001329419,0.00007001455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3815807,"threshold_uncertainty_score":0.9973953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05728015857494025,"score_gpt":0.4111817274637891,"score_spread":0.3539015688888488,"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."}}