{"id":"W6931573217","doi":"10.5281/zenodo.6276969","title":"Teremys masneri Mason","year":2003,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Pediatric health and respiratory diseases","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ovipositor; Groove (engineering); Paratype; Head (geology); Claw; Holotype","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":[0.00006495015,0.0002837854,0.0001933658,0.000701752,0.0006259922,0.0002102869,0.0002569173,0.0003274625,0.004138089],"category_scores_gemma":[0.0002062688,0.0001178861,0.0001076467,0.0004273338,0.0002096335,0.0006295942,0.0005070214,0.0003919476,0.001678237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000343019,"about_ca_system_score_gemma":0.0002232609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005147509,"about_ca_topic_score_gemma":0.01302628,"domain_scores_codex":[0.9998982,0.000006439928,0.000007243195,0.00003734458,0.00003765708,0.00001302153],"domain_scores_gemma":[0.9999259,0.000008033061,0.00003146844,0.000009986596,0.00001541659,0.00000922148],"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":[0.0008743528,0.0002555781,0.05881698,0.0007553154,0.0000685829,0.009294849,0.003534572,0.002732083,0.3437368,0.01570086,0.01827926,0.5459507],"study_design_scores_gemma":[0.0001037648,0.0009764852,0.4825812,0.0006198991,0.000161004,0.02624794,0.002714387,0.00370825,0.02802304,0.004561432,0.4502152,0.00008748503],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8382655,0.006015917,0.007724185,0.0005676419,0.0003886773,0.0002578264,0.00198463,0.0003794298,0.1444163],"genre_scores_gemma":[0.9558684,0.002212165,0.01033996,0.0002983144,0.00009208463,0.000105665,0.001284955,0.00002313073,0.02977536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005147509,"threshold_uncertainty_score":0.01384324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08237286369981449,"score_gpt":0.3571431309349378,"score_spread":0.2747702672351233,"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."}}