{"id":"W7070823907","doi":"","title":"Probabilité et temps de fixation à lâaide de processus ancestraux","year":2014,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fixation (population genetics); Process dynamics; Limiting; Homogeneous","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00003404306,0.0003703108,0.0003860164,0.0000374943,0.0001292887,0.00005612869,0.0002574045,0.0001092343,0.0002507617],"category_scores_gemma":[0.00001563211,0.0003861591,0.00003503011,0.00009030407,0.00008302724,0.0002598242,0.00006536806,0.0003444491,1.6844e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000452938,"about_ca_system_score_gemma":0.003062094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006777777,"about_ca_topic_score_gemma":0.08529497,"domain_scores_codex":[0.9977937,0.00009385922,0.0003625648,0.000325832,0.0008870574,0.0005370047],"domain_scores_gemma":[0.999012,0.0002259454,0.00022689,0.000192794,7.12836e-7,0.0003416713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004852655,0.0001534587,0.1202034,0.03133441,0.0006958339,0.0002839278,0.002323161,0.1255799,0.0446285,0.5026043,0.02765782,0.14405],"study_design_scores_gemma":[0.001000035,0.000191377,0.05051955,0.004968474,0.0001653264,0.00006978079,0.001729181,0.08931693,0.04614581,0.01117779,0.793061,0.001654765],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04942191,0.001755007,0.001772522,0.003484847,0.0002620711,0.0002636765,0.000123526,0.00004653502,0.9428699],"genre_scores_gemma":[0.7771683,0.0003891895,0.008375018,0.000773815,0.0003120508,0.00002438486,0.00001802868,0.000149988,0.2127893],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7654032,"threshold_uncertainty_score":0.999859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003552188854574625,"score_gpt":0.1515854992365912,"score_spread":0.1480333103820166,"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."}}