{"id":"W7131750914","doi":"","title":"Production des minéraux métalliques, non-métalliques, agrégats, argile et minéraux réfractaires en quantité, annuel","year":2021,"lang":"","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Context (archaeology); Population; Identification (biology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006530405,0.002077196,0.001508255,0.004657457,0.0009829899,0.002528401,0.002007821,0.001652705,0.01298496],"category_scores_gemma":[0.004023229,0.000590031,0.001433145,0.008855073,0.0005902504,0.001097969,0.001125282,0.001558537,0.01326049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004510454,"about_ca_system_score_gemma":0.006367769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4843619,"about_ca_topic_score_gemma":0.6914772,"domain_scores_codex":[0.9992794,0.00004831175,0.00006111863,0.0002444911,0.0002203157,0.0001464291],"domain_scores_gemma":[0.9981364,0.0004413734,0.0001869229,0.00023119,0.0008120585,0.0001919457],"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":[0.000160631,0.00004303571,0.01264205,0.001559959,0.0001360975,0.00005214318,0.00007791965,0.001228012,0.000393192,0.0008137945,0.9769597,0.005933487],"study_design_scores_gemma":[0.0002220123,0.00002848997,0.05404221,0.0005603356,0.0001288693,0.0001513616,0.00033043,0.001943548,0.001092184,0.001719154,0.9396964,0.0000849408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005290419,0.0001590302,0.00004694821,0.00005742667,0.0000161362,0.000003452564,0.9985874,0.0001474288,0.0004532196],"genre_scores_gemma":[0.00133678,0.0001631377,0.0002962435,0.00003203466,0.000006289028,0.00001681482,0.9973236,0.00002984854,0.0007953009],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4843619,"threshold_uncertainty_score":0.9630852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05281549181998547,"score_gpt":0.3727211245113488,"score_spread":0.3199056326913634,"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."}}