{"id":"W6969033977","doi":"10.5281/zenodo.4536017","title":"Trouessartia pensylvanica Mironov and Chandler 2020, sp. n.","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Holotype; Paratype; Anterior surface; Margin (machine learning)","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":[0.0001303455,0.0005124345,0.00036376,0.001424741,0.00133411,0.0004492668,0.0008231414,0.0003341145,0.01342547],"category_scores_gemma":[0.0004002214,0.0002806104,0.0002082372,0.001011773,0.0006928146,0.0009840121,0.000764853,0.0007217574,0.003928733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006230964,"about_ca_system_score_gemma":0.0006594012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01942898,"about_ca_topic_score_gemma":0.049162,"domain_scores_codex":[0.9998571,0.00001220011,0.0000095816,0.000052116,0.00004400489,0.00002509899],"domain_scores_gemma":[0.9998579,0.00002977704,0.00004564456,0.00001790198,0.00003352484,0.00001530772],"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":[0.0005007929,0.0001612163,0.01325277,0.001348547,0.0001249592,0.005265363,0.00222576,0.001063133,0.02824497,0.007601127,0.03293069,0.9072806],"study_design_scores_gemma":[0.0001848372,0.000359648,0.2306387,0.001006133,0.0001949961,0.01815465,0.003034066,0.0007964103,0.006655771,0.002323162,0.7365744,0.00007727488],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2883214,0.031359,0.006653189,0.000966426,0.001019209,0.001173476,0.005283433,0.001323041,0.6639009],"genre_scores_gemma":[0.92544,0.00648836,0.003997625,0.0004329043,0.0001538182,0.0003213999,0.002520661,0.00009335408,0.06055192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01942898,"threshold_uncertainty_score":0.0449127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02867744860833322,"score_gpt":0.2243295257301936,"score_spread":0.1956520771218604,"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."}}