{"id":"W4250620458","doi":"10.32749/nucleodoconhecimento.com.br/quimica-it/panorama-nazionale","title":"Panorama nazionale del niobio tra il 2010 e il 2014","year":2018,"lang":"it","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; Art","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":[0.0004525386,0.0004198996,0.0002538849,0.004368685,0.0007575932,0.002134715,0.0003345295,0.0004424327,0.01802353],"category_scores_gemma":[0.0009012659,0.000272777,0.0002682725,0.008010512,0.0004378404,0.001016743,0.001068167,0.0009023916,0.004731813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003189947,"about_ca_system_score_gemma":0.00371321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1224934,"about_ca_topic_score_gemma":0.2332769,"domain_scores_codex":[0.9993547,0.00005454495,0.00004674179,0.0001624927,0.0002565171,0.0001251294],"domain_scores_gemma":[0.9990951,0.00007062072,0.0001912278,0.0000460319,0.000484256,0.0001127419],"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":[0.00150051,0.0001144046,0.1983711,0.003354865,0.0001682167,0.0004486221,0.002361008,0.001004284,0.007714218,0.02178054,0.2970068,0.4661756],"study_design_scores_gemma":[0.000007979766,0.00002993213,0.1297454,0.0002437954,0.00001844587,0.0001480507,0.000692694,0.000105563,0.0006851843,0.0003250263,0.8679838,0.00001424275],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1675145,0.07487996,0.003858164,0.01016897,0.004014747,0.0002066896,0.1904974,0.001053609,0.5478059],"genre_scores_gemma":[0.4351989,0.06019715,0.007839595,0.001737473,0.001549723,0.0002154264,0.1204677,0.0003358028,0.3724582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1224934,"threshold_uncertainty_score":0.2435607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02252023525063527,"score_gpt":0.2884700473654369,"score_spread":0.2659498121148016,"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."}}