{"id":"W6969126488","doi":"10.5281/zenodo.5268247","title":"Microctonus melanopus Ruthe","year":2013,"lang":"en","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":"","funders":"","keywords":"Range (aeronautics); Order (exchange); Stability (learning theory); Selection (genetic algorithm)","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":[0.00005013005,0.0003046813,0.00009185312,0.001148404,0.0004538307,0.0001436968,0.0002116029,0.0001734498,0.02354534],"category_scores_gemma":[0.0001986808,0.0001104888,0.0001080685,0.0003855941,0.0002236627,0.0004437935,0.0005194588,0.0001763928,0.004788356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002303575,"about_ca_system_score_gemma":0.00008737159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005202051,"about_ca_topic_score_gemma":0.01065432,"domain_scores_codex":[0.9999474,0.000005318041,0.000004628734,0.00001537697,0.00001692493,0.00001027141],"domain_scores_gemma":[0.9999125,0.00001505481,0.00004139443,0.00001014798,0.00001221316,0.000008729266],"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":[0.0005675361,0.0001125625,0.08003097,0.0006338803,0.00005624913,0.002932972,0.001021124,0.0005202013,0.03991295,0.004143819,0.03930761,0.83076],"study_design_scores_gemma":[0.00002826442,0.0002295195,0.8074908,0.0003045607,0.0000582683,0.006553187,0.0006535421,0.0005399717,0.004753913,0.0008453577,0.1785204,0.00002227166],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4514556,0.006457693,0.002470204,0.000397749,0.0003145542,0.0003395255,0.004404094,0.0005806905,0.5335799],"genre_scores_gemma":[0.9741968,0.001233782,0.001820324,0.00009058386,0.00008659166,0.00007338713,0.001080045,0.00002299967,0.02139552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02354534,"threshold_uncertainty_score":0.07876706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02245512521103727,"score_gpt":0.2008886590975016,"score_spread":0.1784335338864644,"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."}}