{"id":"W2542400293","doi":"10.1056/nejmp1610336","title":"Data Sharing — Is the Juice Worth the Squeeze?","year":2016,"lang":"en","type":"article","venue":"New England Journal of Medicine","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Data sharing; Alternative medicine; Pathology","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01746602,0.000120957,0.0003717915,0.00007893999,0.0001223806,0.00001972989,0.001818438,0.000119338,0.001348762],"category_scores_gemma":[0.03773696,0.00003529194,0.00007341779,0.0002247898,0.0005560006,0.0001219641,0.0004477212,0.002140342,0.00003603309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004429546,"about_ca_system_score_gemma":0.0005685298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009719717,"about_ca_topic_score_gemma":0.0002267503,"domain_scores_codex":[0.9967498,0.0001507155,0.0007699751,0.0002434237,0.001807385,0.00027866],"domain_scores_gemma":[0.978824,0.01790906,0.0003845976,0.001827697,0.0006235,0.0004311714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002039526,0.00009622185,0.04505949,0.00009829416,0.000490485,0.0004891011,0.002287488,0.000001296526,0.002802298,0.006294037,0.337488,0.6028537],"study_design_scores_gemma":[0.03795072,0.001549673,0.03393225,0.003462313,0.0004231257,0.001760821,0.0004122368,0.00007547983,0.0002420966,0.04377846,0.8763072,0.0001055943],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06275655,0.002922057,0.001614161,0.9233445,0.0009645828,0.0002114095,0.00000926043,0.0000114401,0.008166067],"genre_scores_gemma":[0.9421955,0.009207255,0.0004368583,0.01501475,0.01846495,0.000001066689,0.000002656216,0.00002919444,0.01464782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9083297,"threshold_uncertainty_score":0.9995641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5837789849142236,"score_gpt":0.5638480726501133,"score_spread":0.01993091226411037,"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."}}