{"id":"W7011157717","doi":"","title":"Le peuplement de la seigneurie de Chambly, les alliances matrimoniales et l'enracinement : 1665-1740","year":2018,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"Animal Diversity and Health Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Portrait; Session (web analytics); Statistical analysis","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":[0.0006948016,0.0008258188,0.0009097167,0.0001878724,0.002790392,0.0001553059,0.001304979,0.0008466222,0.008196454],"category_scores_gemma":[0.00004732958,0.0006194261,0.000546432,0.0006286807,0.001044376,0.0002979253,0.001264258,0.000611537,0.0005125479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307002,"about_ca_system_score_gemma":0.00082193,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08447257,"about_ca_topic_score_gemma":0.1219246,"domain_scores_codex":[0.9958343,0.0008039487,0.0003628358,0.001084388,0.0006015392,0.001313014],"domain_scores_gemma":[0.9977707,0.0004975295,0.000614402,0.0002267938,0.0002630554,0.0006275721],"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":[0.001896639,0.001803053,0.2247178,0.001121425,0.00182706,0.002471951,0.02832031,0.0001157883,0.02217142,0.4333607,0.2243116,0.05788223],"study_design_scores_gemma":[0.001127128,0.001119501,0.1210145,0.0004282847,0.0004926101,0.00004173275,0.0173281,0.00005340456,0.001011535,0.0005301845,0.8559735,0.0008794394],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2703653,0.009345924,0.0001707308,0.02868777,0.0006007521,0.001043021,0.0006624191,0.0003857562,0.6887383],"genre_scores_gemma":[0.185482,0.0638687,0.001067082,0.001141446,0.001111616,0.000005629279,0.0001969084,0.00004913768,0.7470775],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6316619,"threshold_uncertainty_score":0.9996257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01746533844633033,"score_gpt":0.2251895429878136,"score_spread":0.2077242045414833,"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."}}