{"id":"W6931461656","doi":"10.5281/zenodo.4672749","title":"Okanopteryx Archibald & Cannings & Erickson & Bybee & Mathewes 2021, new genus","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genus; Quadrangle; Sensu; Type species","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":[0.0001105556,0.0005302649,0.0003083363,0.001272025,0.001586758,0.0006581302,0.0005898851,0.000547592,0.01116205],"category_scores_gemma":[0.0004520441,0.0002473446,0.0001854725,0.0008271888,0.0008827501,0.001537775,0.0008559211,0.000891969,0.001936852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072148,"about_ca_system_score_gemma":0.0007731911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01701018,"about_ca_topic_score_gemma":0.05256879,"domain_scores_codex":[0.9998641,0.000007689371,0.00001495184,0.00004624609,0.00005050472,0.00001649265],"domain_scores_gemma":[0.9998442,0.00002562684,0.00004431013,0.00002642863,0.00004548927,0.00001380558],"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":[0.0005166436,0.00006170574,0.0258883,0.000940602,0.00007065509,0.001624877,0.002377862,0.0008607864,0.01404761,0.008960854,0.03125504,0.9133951],"study_design_scores_gemma":[0.00004946307,0.0001362711,0.1980269,0.000915534,0.0001833736,0.005343246,0.001911675,0.0006777485,0.001520131,0.002733745,0.7884559,0.00004599363],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2386578,0.0464691,0.008625803,0.001346454,0.002093234,0.0005037452,0.003712191,0.000640123,0.6979516],"genre_scores_gemma":[0.7938985,0.02285895,0.01710194,0.001206839,0.0007587748,0.0003406307,0.004035299,0.0001186921,0.1596805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01701018,"threshold_uncertainty_score":0.03734076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03037690378415388,"score_gpt":0.2378519135679373,"score_spread":0.2074750097837834,"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."}}