{"id":"W6968133200","doi":"10.5281/zenodo.12732756","title":"Eutyphoeus incommodus","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fish Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agra; Uttar pradesh; South asia; Forensic science; Quarter (Canadian coin)","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":[0.00006920117,0.0004787813,0.0002010728,0.0008729193,0.0007239887,0.0001992815,0.0003010939,0.0003435447,0.01698254],"category_scores_gemma":[0.0002301696,0.0001525243,0.0001275599,0.0004551083,0.000393754,0.0005230495,0.0006606429,0.000396751,0.004564506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002816517,"about_ca_system_score_gemma":0.0002036715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002911032,"about_ca_topic_score_gemma":0.00457692,"domain_scores_codex":[0.9998933,0.00001145464,0.00001056895,0.00002544384,0.00003564413,0.00002355722],"domain_scores_gemma":[0.9999146,0.00001400293,0.0000303348,0.000007247377,0.00002246603,0.00001144283],"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":[0.0007170644,0.0003051435,0.07436813,0.001341192,0.00004765047,0.005865615,0.002828965,0.00089939,0.08804786,0.006583798,0.01615041,0.8028449],"study_design_scores_gemma":[0.00005590824,0.0005441824,0.6374646,0.0005093885,0.00006644486,0.01298847,0.002256201,0.0006758784,0.01289056,0.002032455,0.3304767,0.00003922476],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5824453,0.007345092,0.00369675,0.0006577489,0.0005224833,0.0003270947,0.002623598,0.0004955531,0.4018864],"genre_scores_gemma":[0.9696364,0.001287505,0.002345066,0.0002827649,0.00006906388,0.00006810802,0.001442253,0.00002004223,0.02484888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01698254,"threshold_uncertainty_score":0.05681223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03682694768047244,"score_gpt":0.2262449658563381,"score_spread":0.1894180181758656,"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."}}