{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009933898,0.0002347481,0.0003513314,0.0001324492,0.00009278167,0.00003326825,0.001998622,0.0003491165,0.00004062276],"category_scores_gemma":[0.0008189999,0.0001209592,0.0001812246,0.0003846421,0.0004336394,0.00004087796,0.0001233072,0.001205265,0.00004512529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003590506,"about_ca_system_score_gemma":0.000310552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2176907,"about_ca_topic_score_gemma":0.7412763,"domain_scores_codex":[0.9982358,0.0003940518,0.000362679,0.0002351589,0.0004937132,0.000278615],"domain_scores_gemma":[0.9969078,0.0003645717,0.0004317111,0.002198922,0.00006191832,0.00003505935],"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":[0.0000105734,0.00003597211,0.000004505888,0.00001570167,0.00002175936,0.000009794203,0.002146813,3.721854e-7,0.00002005797,0.0009546453,0.9965364,0.0002434321],"study_design_scores_gemma":[0.0002317038,0.00001283414,0.0009441635,0.0001118555,0.00008424462,0.00002638804,0.001959701,9.977592e-7,0.00001364562,0.0003918119,0.9960867,0.000136023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002555496,0.00006351274,1.609998e-7,0.0009435989,0.0001224997,0.0004492699,0.9963683,0.00001484266,0.002012196],"genre_scores_gemma":[0.0007494197,0.0000246256,0.000006379314,0.0007329512,0.0001867991,0.00007649016,0.9981611,0.0000440473,0.00001812712],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5235856,"threshold_uncertainty_score":0.7875188,"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."}}