{"id":"W6949980259","doi":"10.5281/zenodo.3791301","title":"Neanaperiallus Gibson 2009, gen. n.","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Biology and Environmental Chemistry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Set (abstract data type); Relation (database); Perspective (graphical); Natural (archaeology); Identification (biology)","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":[0.0002841068,0.0007443335,0.0005861419,0.002874696,0.001067047,0.0005933532,0.0009675191,0.000573782,0.03742675],"category_scores_gemma":[0.0007010851,0.0004757382,0.0002011668,0.003156916,0.0005941387,0.001351835,0.0008857083,0.0007818647,0.02122273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009837225,"about_ca_system_score_gemma":0.0006726598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03732957,"about_ca_topic_score_gemma":0.08832099,"domain_scores_codex":[0.9997166,0.00002325988,0.00003960255,0.0001017183,0.00009522154,0.00002362779],"domain_scores_gemma":[0.9996893,0.00004005021,0.0001064531,0.00004885421,0.0000947603,0.000020649],"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":[0.0005136657,0.00005119377,0.0139448,0.00272297,0.0001452045,0.0005100194,0.001435763,0.0003504232,0.01203977,0.006359063,0.3695447,0.5923824],"study_design_scores_gemma":[0.00003727064,0.00004174678,0.06583091,0.0003172342,0.0000745273,0.0007931964,0.0003470272,0.00005350337,0.0006874301,0.0005503711,0.931246,0.00002078584],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05220228,0.04151758,0.008937079,0.002728064,0.003051674,0.001478169,0.1205946,0.003058886,0.7664316],"genre_scores_gemma":[0.3024479,0.04581282,0.04960315,0.004531076,0.001125331,0.003221485,0.1662473,0.001599585,0.4254113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03742675,"threshold_uncertainty_score":0.1252049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314378528216837,"score_gpt":0.1891946383556145,"score_spread":0.1760508530734461,"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."}}