{"id":"W6893329810","doi":"10.5281/zenodo.16098171","title":"Dehmisciurus obtusidens","year":2025,"lang":"pt","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cephalopods and Marine Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Tyrrell Museum","funders":"","keywords":"Identification (biology); Product (mathematics); Process (computing)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008608065,0.0003926322,0.000197998,0.0009749491,0.000491177,0.0002025365,0.0002609138,0.0003392589,0.005144787],"category_scores_gemma":[0.0002932532,0.0001093075,0.00009212179,0.000500374,0.0004950789,0.0003391359,0.0008803278,0.0002683638,0.001407217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004296071,"about_ca_system_score_gemma":0.0001666695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003127363,"about_ca_topic_score_gemma":0.003887507,"domain_scores_codex":[0.9999079,0.000005170134,0.000006806884,0.00003773437,0.00002230793,0.00002017561],"domain_scores_gemma":[0.9999118,0.000010747,0.00003783087,0.00001075915,0.00001373817,0.0000151908],"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":[0.001083481,0.00008494136,0.07372271,0.001108787,0.00006018329,0.002397664,0.001459235,0.001537588,0.3755486,0.01170518,0.005281145,0.5260105],"study_design_scores_gemma":[0.00006527268,0.0004920244,0.6516063,0.0003903173,0.00007630503,0.007156957,0.0007906553,0.001033978,0.03855615,0.00218606,0.2976189,0.00002712408],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8231612,0.005300913,0.002758365,0.0002301731,0.0002699237,0.00008654754,0.0009229862,0.0002332344,0.1670365],"genre_scores_gemma":[0.9730454,0.00152364,0.002525697,0.0002256235,0.0001001586,0.00005331939,0.001051072,0.00002944192,0.02144571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005144787,"threshold_uncertainty_score":0.01721096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03281444177188621,"score_gpt":0.248702762694378,"score_spread":0.2158883209224918,"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."}}