{"id":"W4288044677","doi":"10.37002/salve.ficha.18962","title":"Ficha de Nothura maculosa","year":2022,"lang":"es","type":"dataset","venue":"Datasets - Sistema SALVE - ICMBio","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.005639968,0.004738655,0.004723117,0.002499642,0.002605812,0.002321523,0.0110253,0.00227029,0.2664546],"category_scores_gemma":[0.00228795,0.005343526,0.00212131,0.003593524,0.001554162,0.001404472,0.009847675,0.005950757,0.1147153],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004415535,"about_ca_system_score_gemma":0.002135244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006975856,"about_ca_topic_score_gemma":0.00197014,"domain_scores_codex":[0.9745114,0.004428822,0.004456128,0.006128705,0.005228901,0.005246032],"domain_scores_gemma":[0.9756859,0.001864515,0.004264422,0.01560619,0.0003240785,0.00225487],"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":[0.0009561037,0.002901977,0.0001832038,0.007498256,0.003296934,0.005875801,0.0001260162,0.00004066002,0.0007653156,0.0003189376,0.9777002,0.0003366205],"study_design_scores_gemma":[0.003237706,0.0007445384,0.0006304188,0.001149219,0.005694076,0.001576217,0.0004473356,0.00009697214,0.0002240709,0.00006016098,0.9807041,0.005435183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003326116,0.004084676,0.000008365993,0.000506498,0.00324219,0.003965402,0.9865896,0.0007953261,0.0004753746],"genre_scores_gemma":[0.0001761217,0.001574018,0.0004248665,0.002793326,0.001711972,0.001639026,0.9897878,0.00120699,0.0006858624],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1517393,"threshold_uncertainty_score":0.9996368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01990275387950576,"score_gpt":0.3009319978301494,"score_spread":0.2810292439506437,"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."}}