{"id":"W7015662719","doi":"","title":"27th CCLA Annual Meeting/ Le congrès annuel de l’ACLC: Université du Quebec à Montréal, 1995","year":2020,"lang":"fr","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economic shortage; Outbreak; Selection (genetic algorithm)","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","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"category_scores_codex":[0.0001582731,0.002929555,0.002600905,0.003866839,0.002197079,0.002199116,0.006939639,0.002596681,0.007527943],"category_scores_gemma":[0.000220395,0.004351356,0.002055345,0.008198026,0.003260313,0.01768599,0.005740405,0.002642012,0.01242656],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004119319,"about_ca_system_score_gemma":0.006405691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02917568,"about_ca_topic_score_gemma":0.01081314,"domain_scores_codex":[0.9898575,0.001299443,0.000788763,0.003573696,0.001380674,0.003099933],"domain_scores_gemma":[0.9914651,0.0007399304,0.001778997,0.001912765,0.0004441531,0.003659063],"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":[0.003998055,0.001654951,0.02245503,0.0004381578,0.002839543,0.02578476,0.004887658,0.0008525903,0.00008576891,0.1062322,0.82756,0.003211237],"study_design_scores_gemma":[0.006952057,0.0005284721,0.001818906,0.00106406,0.001378083,0.0001688689,0.04891823,0.0003208306,0.00008824204,0.0001024485,0.9347638,0.003895936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01167887,0.002506738,0.0004109924,0.004906526,0.0008036455,0.001648476,0.04065445,0.003848376,0.933542],"genre_scores_gemma":[0.03948713,0.001480643,0.00158743,0.0005581208,0.00100052,3.28753e-7,0.004656209,0.001565427,0.9496642],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1072039,"threshold_uncertainty_score":0.9997037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006753058068232517,"score_gpt":0.1413422607274327,"score_spread":0.1345892026592002,"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."}}