{"id":"W2321553108","doi":"10.1177/0968533212458431","title":"Open science and community norms","year":2012,"lang":"en","type":"article","venue":"Medical Law International","topic":"Research Data Management Practices","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; McGill University","funders":"National Institutes of Health; Canadian Institutes of Health Research; European Commission; Wellcome Trust; Genome Canada","keywords":"Novelty; Data sharing; Open data; Open science; Big data; Data retention; Best practice; Public relations; Data science; Business; Political science; Sociology; Computer science; World Wide Web; Law; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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","open_science"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.01067971,0.00004784732,0.00005346852,0.00006487699,0.0004256671,0.002680013,0.01214572,0.00001992161,0.0001937414],"category_scores_gemma":[0.004662227,0.00003707451,0.000007049191,0.0002199362,0.0005762747,0.03800619,0.01553986,0.000371638,0.0000634079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006310352,"about_ca_system_score_gemma":0.000122777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001076736,"about_ca_topic_score_gemma":0.0001049927,"domain_scores_codex":[0.9974178,0.0001678378,0.0001120908,0.0001623245,0.001899099,0.0002408252],"domain_scores_gemma":[0.998597,0.0003737026,0.00004203745,0.0005113371,0.0001438973,0.0003320423],"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":[0.00000197376,0.0001238798,0.001709489,0.000002413878,0.000007354899,0.000003094218,0.0001080596,5.797514e-8,0.00002661811,0.9843313,0.001136478,0.01254926],"study_design_scores_gemma":[0.0003305725,0.00004038505,0.02414867,0.00001875784,0.000001435067,0.00003797895,0.000061054,0.005155407,0.0002660172,0.004329447,0.9655105,0.00009976672],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02918599,0.00004642401,0.1107071,0.0456533,0.00136702,0.0002339464,0.000006737044,0.00007243157,0.812727],"genre_scores_gemma":[0.9875133,0.00004083148,0.008252944,0.003373364,0.00009653191,0.00001317571,0.00000568424,0.000002132796,0.0007020151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9800019,"threshold_uncertainty_score":0.9983553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1429039671374403,"score_gpt":0.4399093979975621,"score_spread":0.2970054308601218,"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."}}