{"id":"W7098190931","doi":"","title":"ÉMILIE BÉDARD GÉOLOGIE ET GÉOCHIMIE DES MASSIFS OPHIOLITIQUES DE SAGA ET SANGSANG","year":2009,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Annals; Section (typography)","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":[0.0006154546,0.0004165672,0.0004433197,0.001699658,0.001276462,0.001017839,0.0003107162,0.0005153821,0.002151808],"category_scores_gemma":[0.001244113,0.00016668,0.0003244309,0.001590958,0.0007751797,0.0006226122,0.0007550436,0.001182447,0.0006275935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001487665,"about_ca_system_score_gemma":0.001483797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2268447,"about_ca_topic_score_gemma":0.2873353,"domain_scores_codex":[0.9997475,0.00006394673,0.000008458193,0.00005165947,0.00007335025,0.00005518512],"domain_scores_gemma":[0.9994503,0.0001495897,0.00005512176,0.00001743686,0.0002265311,0.0001010384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003072664,0.00009624247,0.8507978,0.0001636926,0.0001763207,0.0009961693,0.008530686,0.003635592,0.008495532,0.006400696,0.01576726,0.1046327],"study_design_scores_gemma":[0.00001252674,0.00006501326,0.950053,0.00005879865,0.00003460866,0.0004132355,0.004505148,0.002071214,0.002024933,0.001663093,0.03906687,0.00003149097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623339,0.009683251,0.002243306,0.006489397,0.0004265883,0.00002560619,0.0009479207,0.00008973256,0.01776029],"genre_scores_gemma":[0.9759051,0.003813361,0.001591235,0.0004767604,0.000247743,0.00001559479,0.0006543451,0.00004124949,0.01725463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2268447,"threshold_uncertainty_score":0.4510487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1127192102020779,"score_gpt":0.2731352580565913,"score_spread":0.1604160478545134,"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."}}