{"id":"W7153054541","doi":"10.3917/rsc.1502.0531b","title":"Line Beauchesne, Introduction à la criminologie et problématiques canadiennes . Montréal, Bayard, 2014, 452 pages","year":2015,"lang":"fr","type":"article","venue":"Revue de science criminelle et de droit pénal comparé","topic":"Historical and Scientific Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Line (geometry); Subject (documents); Field (mathematics); Focus (optics)","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"],"consensus_categories":[],"category_scores_codex":[0.007292787,0.0004601954,0.0008748068,0.0004911596,0.0005134072,0.0002484865,0.0007809018,0.0002498068,0.0001533824],"category_scores_gemma":[0.005729963,0.0004431757,0.0001906757,0.001095481,0.002291871,0.0006228656,0.0003179061,0.0009312403,0.0003957925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002821544,"about_ca_system_score_gemma":0.002552577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007841452,"about_ca_topic_score_gemma":0.003961344,"domain_scores_codex":[0.9951141,0.0005057868,0.000763673,0.001148464,0.00085659,0.001611377],"domain_scores_gemma":[0.9960699,0.0005200889,0.0002809859,0.0007717334,0.001046943,0.001310321],"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":[0.000213606,0.001025033,0.002731303,0.0009872087,0.0001081521,0.0006513584,0.03418273,0.004423016,0.01751932,0.05192399,0.8637559,0.02247834],"study_design_scores_gemma":[0.001679476,0.00163841,0.01493414,0.00104467,0.0007280447,0.002174513,0.01697644,0.02148578,0.0138641,0.01239731,0.9118033,0.001273821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6659888,0.0613561,0.01119058,0.1646526,0.01615992,0.001406539,0.0001023556,0.0005102255,0.07863287],"genre_scores_gemma":[0.9247838,0.005616893,0.01391772,0.00143514,0.003886071,0.00009041034,0.00005058091,0.00005562698,0.05016378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.258795,"threshold_uncertainty_score":0.999802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1389690770782439,"score_gpt":0.3379541108681116,"score_spread":0.1989850337898677,"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."}}