{"id":"W2911981491","doi":"10.1136/bmjopen-2018-024863","title":"Sharing individual participant data from clinical studies: a cross-sectional online survey among Italian patient and citizen groups","year":2019,"lang":"en","type":"article","venue":"BMJ Open","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agricultural Research Institute of Ontario","funders":"Istituto di Ricerche Farmacologiche Mario Negri - IRCCS","keywords":"Medicine; Data sharing; Sanctions; Family medicine; Identification (biology); Data collection; Internet privacy; Medical education; Alternative medicine","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.02525005,0.0001860851,0.0007911618,0.00005424931,0.0001361546,0.0003667896,0.00151927,0.0003738222,0.0006198416],"category_scores_gemma":[0.05894696,0.0001493182,0.00007342654,0.000173546,0.0006227124,0.0003781353,0.01170826,0.001694538,0.000229954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004472804,"about_ca_system_score_gemma":0.0005114625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002738394,"about_ca_topic_score_gemma":0.01153241,"domain_scores_codex":[0.9947983,0.0005510536,0.001512137,0.001277482,0.001412257,0.0004487646],"domain_scores_gemma":[0.976449,0.01958585,0.0003521781,0.002475016,0.0006239893,0.0005139275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009793305,0.000393804,0.9953324,0.0001054182,0.0007875139,0.00005357754,0.0004101613,0.00000221895,0.000004754952,0.0001295147,0.001342537,0.000458814],"study_design_scores_gemma":[0.002908453,0.0007148868,0.9906954,0.0005658752,0.00009134206,0.000005668594,0.0007229689,0.0008207263,0.000003706027,0.003080457,0.0002022871,0.0001881873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920174,0.000163364,0.000003752964,0.0007100559,0.0006198576,0.00403296,0.001899888,0.00002577422,0.0005269319],"genre_scores_gemma":[0.9932218,0.000133226,0.001007352,0.001151263,0.0004295729,0.0001448257,0.002335613,0.00003674707,0.001539622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03369692,"threshold_uncertainty_score":0.9962848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9397915455899033,"score_gpt":0.7207678260403302,"score_spread":0.2190237195495731,"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."}}