{"id":"W6912498731","doi":"10.5281/zenodo.5277985","title":"Bruchophagus gibbus","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Homonym (biology); Stability (learning theory); Identification (biology)","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":[0.0001016605,0.0005655918,0.0002109255,0.001207615,0.0008159516,0.0002533865,0.0001913871,0.0003840522,0.007172738],"category_scores_gemma":[0.0001253925,0.0001262198,0.0001244647,0.0004029376,0.0001938093,0.0003982871,0.00040037,0.0002099603,0.001992624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008123383,"about_ca_system_score_gemma":0.0001783536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112805,"about_ca_topic_score_gemma":0.02894322,"domain_scores_codex":[0.9999384,0.00000874725,0.000004606155,0.0000210546,0.00001898565,0.000008266138],"domain_scores_gemma":[0.9999282,0.00001233917,0.00002394044,0.000005212609,0.00001293072,0.00001736208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001078845,0.0001584801,0.02890708,0.001030502,0.00009261198,0.003102386,0.0008811934,0.0008914969,0.7589217,0.002790334,0.008795596,0.1933497],"study_design_scores_gemma":[0.0002449329,0.001182557,0.8130844,0.0003724768,0.0002118671,0.007417383,0.001737614,0.001341163,0.03276535,0.002166199,0.1393587,0.0001172224],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.919251,0.008342221,0.002898665,0.0004312148,0.0001516859,0.0001575742,0.003972474,0.0006754134,0.06411976],"genre_scores_gemma":[0.9632762,0.001633714,0.004184103,0.0005738147,0.00004200654,0.00009608464,0.004079258,0.00004574455,0.02606901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0112805,"threshold_uncertainty_score":0.02399516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01801474018828421,"score_gpt":0.2235164787365714,"score_spread":0.2055017385482872,"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."}}