{"id":"W7064926514","doi":"","title":"From Code to Policy Statement: Creating Canadian Policy for Ethical Research Involving Humans","year":2009,"lang":"en","type":"other","venue":"DigitalGeorgetown (Georgetown University Library)","topic":"Atomic and Molecular Physics","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ethical code; Code (set theory); Government (linguistics); Public policy; Research ethics; Legislation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001967118,0.0007114324,0.0007633344,0.002595123,0.000705888,0.0004639022,0.001357419,0.0006510087,0.001618669],"category_scores_gemma":[0.00007563708,0.0008523625,0.0004095124,0.001842206,0.0002422109,0.0005413484,0.0005858112,0.001178766,0.0002497926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000560559,"about_ca_system_score_gemma":0.00516466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2766156,"about_ca_topic_score_gemma":0.00863322,"domain_scores_codex":[0.9959751,0.0002114341,0.0004140739,0.001181829,0.0005505632,0.001667035],"domain_scores_gemma":[0.9970766,0.0002251753,0.0002449496,0.0009241228,0.0001253525,0.001403771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004104813,0.0000764119,0.0004007877,0.00002508435,0.0002463636,0.00002404094,0.0007785399,0.00001008336,0.00003466502,0.3027421,0.6912152,0.004405593],"study_design_scores_gemma":[0.0006924487,0.00008705193,0.00009964521,0.0002767222,0.00004998629,1.568854e-7,0.001151654,0.00003025886,0.0002937853,0.03764288,0.9588513,0.000824076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008968828,0.00005343862,0.002215537,0.01359484,0.0001327996,0.001459214,0.01085325,0.0003652373,0.9704288],"genre_scores_gemma":[0.0276424,0.0000300635,0.002886135,0.001622118,0.004097203,0.00001532024,0.006419301,0.0007296781,0.9565578],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2679824,"threshold_uncertainty_score":0.9993927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01973901221809381,"score_gpt":0.2906429286841339,"score_spread":0.2709039164660401,"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."}}