{"id":"W6912253478","doi":"10.5281/zenodo.4401555","title":"Menticirrhus littoralis","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Type (biology); Range (aeronautics); Nomenclature; Genus","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":[0.00004438626,0.0007422574,0.0002173243,0.001639867,0.001354139,0.0004366985,0.0003620606,0.0002581846,0.07366351],"category_scores_gemma":[0.0001807652,0.0002211088,0.0001874977,0.001090202,0.0003237931,0.0007187729,0.0009057244,0.0003266555,0.01358048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006929392,"about_ca_system_score_gemma":0.0003641333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01618232,"about_ca_topic_score_gemma":0.06491706,"domain_scores_codex":[0.9999123,0.000005633607,0.000009548186,0.00002712158,0.00003003105,0.00001544566],"domain_scores_gemma":[0.9999228,0.000007503511,0.00002968005,0.00000707063,0.0000222802,0.0000107005],"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":[0.0003310956,0.0001000071,0.05151615,0.001363698,0.00006236518,0.001312573,0.001384021,0.0005153734,0.02091822,0.004455861,0.1081153,0.8099253],"study_design_scores_gemma":[0.00004289774,0.0001486854,0.4264598,0.0005001105,0.00006715787,0.002056183,0.001881536,0.0002505364,0.002875928,0.001543332,0.5641235,0.00005025639],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1879909,0.008699544,0.004248844,0.0006815991,0.0005014728,0.0005141621,0.02368874,0.001068456,0.7726062],"genre_scores_gemma":[0.7993327,0.004549485,0.007755365,0.0005768751,0.0001332693,0.0002470043,0.009976808,0.0001299046,0.1772986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07366351,"threshold_uncertainty_score":0.246429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0316944772304623,"score_gpt":0.2278761161237779,"score_spread":0.1961816388933156,"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."}}