{"id":"W2418161243","doi":"10.1503/cmaj.109-5171","title":"Scientific misconduct or criminal offence?","year":2015,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commit; Misconduct; Scientific misconduct; Criminal offence; Face (sociological concept); Criminology; Political science; Psychology; Internet privacy; Computer security; Law; Medicine; Criminal law; Computer science; Sociology; Alternative medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01373139,0.00008026196,0.000141023,0.000178122,0.001345893,0.0004751653,0.0005145582,0.001027343,0.01075939],"category_scores_gemma":[0.02479145,0.00006631025,0.00006272199,0.0004071722,0.0002785234,0.0003957157,0.00001280353,0.002460374,0.0007332607],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001882325,"about_ca_system_score_gemma":0.02824374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03172259,"about_ca_topic_score_gemma":0.3506884,"domain_scores_codex":[0.9955001,0.0006039136,0.0003048425,0.0001468906,0.002787292,0.0006569774],"domain_scores_gemma":[0.9948074,0.0002658377,0.0001634763,0.00006568283,0.001024811,0.003672851],"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":[0.000005781624,0.00001032849,0.006964288,0.000001572061,0.00001903101,0.0002616857,0.01698131,7.631886e-7,0.000001675611,0.006012179,0.9553103,0.01443104],"study_design_scores_gemma":[0.0002519629,0.00002034599,0.0004404367,0.00002862213,0.00001335701,0.0001038236,0.01918694,0.00004129408,0.000004472205,0.002180437,0.9776265,0.0001017894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3759105,0.0005533282,0.0003511881,0.3446915,0.01981902,0.0002641192,0.00005060753,0.00008215779,0.2582776],"genre_scores_gemma":[0.8867793,0.0001734905,0.0006541702,0.02552278,0.01293314,0.000005635341,0.00001416094,0.00001966456,0.07389764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5108688,"threshold_uncertainty_score":0.9999542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06404367788593042,"score_gpt":0.3220001549856951,"score_spread":0.2579564770997647,"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."}}