{"id":"W6913119861","doi":"10.5683/sp3/olmix7","title":"Context of the Training in the Regions","year":2010,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Context (archaeology); Training (meteorology); Presentation (obstetrics); Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001843286,0.002936899,0.001683536,0.003597699,0.001270252,0.002574804,0.002357103,0.001916858,0.01816405],"category_scores_gemma":[0.009739645,0.0005287996,0.001526259,0.004840223,0.0007716457,0.002207637,0.002261157,0.002478372,0.03679907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002390607,"about_ca_system_score_gemma":0.0025343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05328447,"about_ca_topic_score_gemma":0.1210065,"domain_scores_codex":[0.9960906,0.0008830483,0.0002747685,0.001339177,0.0007725485,0.00063979],"domain_scores_gemma":[0.9956429,0.001022341,0.0003000611,0.001534957,0.0009959128,0.000503837],"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":[0.0004737012,0.0001888287,0.008489201,0.001126547,0.00009200555,0.0001375961,0.0001646508,0.002965685,0.001027734,0.0010803,0.9476985,0.03655535],"study_design_scores_gemma":[0.0002059052,0.0002030906,0.03296443,0.0006153674,0.0001527703,0.0006163342,0.000715686,0.007623929,0.004976063,0.002593466,0.9492361,0.00009684067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01714442,0.003513755,0.003087262,0.0009170633,0.0005274472,0.0001716581,0.9463407,0.006421518,0.02187613],"genre_scores_gemma":[0.015307,0.0005343625,0.002764268,0.0002588376,0.00006369408,0.0001188719,0.9756211,0.0003203248,0.005011552],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05328447,"threshold_uncertainty_score":0.1059486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05743907391215472,"score_gpt":0.2974616359376888,"score_spread":0.240022562025534,"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."}}