{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001026746,0.00109508,0.001017156,0.0005031662,0.001205213,0.001249223,0.0009925689,0.0005981564,0.01067727],"category_scores_gemma":[0.0001810497,0.001141623,0.0005276265,0.001105505,0.0005460827,0.0009990495,0.0003655411,0.0008179941,0.01708972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000497218,"about_ca_system_score_gemma":0.0002969231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002853955,"about_ca_topic_score_gemma":0.00004287968,"domain_scores_codex":[0.9937993,0.0002247442,0.001757645,0.001608989,0.001195922,0.001413458],"domain_scores_gemma":[0.9959066,0.0002545399,0.0005653464,0.001472972,0.0009354756,0.0008650846],"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":[0.0007616074,0.003138016,0.005188478,0.002080456,0.001149813,0.0001148453,0.01353625,0.001946996,0.2545363,0.02896994,0.6731496,0.01542765],"study_design_scores_gemma":[0.002151762,0.0004380713,0.004371736,0.0004929462,0.0002689525,0.00004571322,0.001637133,0.01591815,0.0124759,0.0001275748,0.9605047,0.001567377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7831652,0.03536109,0.03352161,0.007817554,0.018068,0.006538543,0.003134999,0.003200428,0.1091925],"genre_scores_gemma":[0.923213,0.002711209,0.002051294,0.0002478251,0.001879622,0.0001486672,0.0003269715,0.0002629057,0.06915852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2873551,"threshold_uncertainty_score":0.9997876,"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."}}