{"id":"W6986141266","doi":"","title":"Offre de travail endogène et mobilité du capital dans un modèle d'équilibre général calculable birégional","year":2005,"lang":"fr","type":"other","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wage; Context (archaeology); Compensation of employees; Frugality","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004101517,0.0006561687,0.0004992322,0.0004344419,0.001363931,0.0005478289,0.001584735,0.0006457662,0.002480114],"category_scores_gemma":[0.002482613,0.0006929368,0.0002989827,0.0007360076,0.002029211,0.00007751149,0.000570697,0.001084047,0.00005908852],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002071916,"about_ca_system_score_gemma":0.02782518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2876933,"about_ca_topic_score_gemma":0.9896816,"domain_scores_codex":[0.9924083,0.0004965929,0.0008107849,0.001316255,0.003299343,0.001668689],"domain_scores_gemma":[0.9959781,0.0002692517,0.0003435035,0.0009009627,0.001788763,0.0007194037],"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":[0.0002921185,0.0006864203,0.0016722,0.0008818842,0.0008057362,0.00007139197,0.0008149119,0.1648105,0.02668849,0.14544,0.6516876,0.006148791],"study_design_scores_gemma":[0.001141148,0.0001894377,0.001497896,0.0001170851,0.00003027813,0.00009527624,0.0003521905,0.05107755,0.005780055,0.0002596623,0.9387832,0.0006762258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3885365,0.006918646,0.02952956,0.09954941,0.01315681,0.00874088,0.02557388,0.0001685976,0.4278257],"genre_scores_gemma":[0.330813,0.0001959555,0.01710355,0.0006956274,0.002269903,0.0004441036,0.01209682,0.0002874024,0.6360937],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7019883,"threshold_uncertainty_score":0.9999362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01954435383647599,"score_gpt":0.2826327015047809,"score_spread":0.2630883476683049,"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."}}