{"id":"W2339724045","doi":"","title":"PROCEDIMENTOS ENVOLVENDO A COMISSÃO DE NOVOS MINERAIS E NOMES DE MINERAIS DA IMÃ, E DIRETRIZES SOBRE NOMENCLATURA MINERAL","year":2018,"lang":"pt","type":"article","venue":"Revista Brasileira de Geociências","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum","funders":"","keywords":"Nomenclature; Mineral; Commission; Library science; Humanities; Mineralogy; Political science; Geology; Chemistry; Philosophy; Law; Computer science; Taxonomy (biology); Botany","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002191501,0.001320751,0.001419351,0.0003821412,0.0009175842,0.001552342,0.002929562,0.0008428326,0.0009652677],"category_scores_gemma":[0.002192261,0.001351138,0.0006822667,0.001896804,0.0007849029,0.0006868005,0.001212787,0.001149958,0.0003980916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008550479,"about_ca_system_score_gemma":0.001825982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003860321,"about_ca_topic_score_gemma":0.00007419325,"domain_scores_codex":[0.9919866,0.0005303975,0.00140959,0.002031237,0.0009318651,0.003110346],"domain_scores_gemma":[0.9943786,0.0006891086,0.0009290054,0.001948191,0.0008841368,0.001170945],"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":[0.0005505637,0.001801617,0.3488386,0.004911025,0.001146327,0.00154153,0.02955896,0.0001963663,0.2235793,0.0104446,0.3614575,0.01597364],"study_design_scores_gemma":[0.007511015,0.002307038,0.1612179,0.003651963,0.0007972124,0.003120897,0.00185247,0.09832981,0.02945307,0.001530646,0.6835356,0.00669236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381633,0.006051258,0.01862135,0.005894936,0.001104429,0.001755092,0.0002873476,0.0007315492,0.02739068],"genre_scores_gemma":[0.946894,0.0001312738,0.009318042,0.002576765,0.003118873,0.0001545884,0.0001123663,0.00006464074,0.03762947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3220782,"threshold_uncertainty_score":0.9999544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0277427900966097,"score_gpt":0.2729117444341581,"score_spread":0.2451689543375484,"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."}}