{"id":"W3107651553","doi":"10.32749/nucleodoconhecimento.com.br/quimica-fr/du-niobium","title":"Panorama national du niobium entre les années 2010 à 2014","year":2018,"lang":"fr","type":"article","venue":"Revista Científica Multidisciplinar Núcleo do Conhecimento","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Niobium; Political science; Art; Niobium pentoxide; Materials science; Metallurgy","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":[0.0005184075,0.0003861311,0.0002471756,0.00190447,0.0009961146,0.000918882,0.000359082,0.0002618953,0.01925033],"category_scores_gemma":[0.00106861,0.0002422351,0.0001454257,0.003128232,0.0002482048,0.0006071274,0.0008418671,0.000625502,0.004361456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002672002,"about_ca_system_score_gemma":0.005212547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1470022,"about_ca_topic_score_gemma":0.2614073,"domain_scores_codex":[0.9995585,0.00005005411,0.00003255841,0.0001082524,0.0001553336,0.00009526571],"domain_scores_gemma":[0.9993562,0.00005141889,0.0001046775,0.00004349141,0.0003852053,0.00005896352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001436283,0.0001183609,0.06351031,0.003606815,0.0001044288,0.0004946947,0.002188909,0.0004394693,0.01434778,0.01921372,0.4131973,0.4813418],"study_design_scores_gemma":[0.00001301794,0.00002805342,0.06870124,0.0001752189,0.00001233629,0.0001133322,0.0004397314,0.00006601566,0.001264947,0.0002156789,0.9289605,0.000009932562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1107629,0.02633073,0.005011216,0.00560173,0.002555657,0.0005850855,0.1615722,0.001768723,0.6858117],"genre_scores_gemma":[0.3455245,0.02026954,0.01609956,0.00159689,0.0004531629,0.0007943932,0.1106467,0.0003647825,0.5042506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1470022,"threshold_uncertainty_score":0.2922931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0229706243157551,"score_gpt":0.2888737101246018,"score_spread":0.2659030858088468,"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."}}