{"id":"W7006286714","doi":"","title":"14th CCLA Annual Meeting/ Le congrès annuel de l’ACLC: Université d'Ottawa, 1982","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":"Selection (genetic algorithm); Economic shortage; Outbreak; Productivity","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007612623,0.001038721,0.0006385113,0.001839308,0.003764337,0.004847574,0.001303261,0.002268803,0.5273479],"category_scores_gemma":[0.002545703,0.0005653247,0.0005817608,0.00205118,0.001185091,0.002218277,0.002556257,0.001970344,0.255189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009369951,"about_ca_system_score_gemma":0.01412961,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3347398,"about_ca_topic_score_gemma":0.6244135,"domain_scores_codex":[0.999278,0.00006668252,0.00004373151,0.00009513776,0.0002667543,0.0002497596],"domain_scores_gemma":[0.9978988,0.0001650622,0.00005226359,0.0001536769,0.001063606,0.0006665845],"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":[0.00006829779,0.0000320159,0.0004552856,0.0000574137,0.000003527522,0.00005377427,0.00006297505,0.0000617201,0.0001271295,0.001686163,0.979584,0.01780769],"study_design_scores_gemma":[0.00001131839,0.00000846868,0.002061069,0.00007167258,0.000004124881,0.00002368339,0.0001458198,0.00006123767,0.0001490397,0.0003116842,0.9971436,0.000008200779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005745856,0.01170661,0.001125036,0.03478528,0.01639954,0.0002394462,0.0186382,0.0008800327,0.9104801],"genre_scores_gemma":[0.002807472,0.001121393,0.0002670882,0.000265787,0.0003169018,0.00003208825,0.001484623,0.0001851503,0.9935195],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6652602,"threshold_uncertainty_score":0.6741809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009232688851514997,"score_gpt":0.1561621814236644,"score_spread":0.1469294925721494,"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."}}