{"id":"W6931135697","doi":"10.5281/zenodo.5622906","title":"Glypthelmins californiensis (Cort, 1919) Miller 1930","year":2008,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sucker; Pharynx; Dorsum; Taxonomy (biology); Integumentary system","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":[0.0001024929,0.0007485196,0.0002074247,0.001029162,0.001109722,0.0003495914,0.0003960249,0.000387487,0.006957115],"category_scores_gemma":[0.0001815133,0.0001898783,0.00008738559,0.0004944807,0.0005828181,0.0004324925,0.0005444169,0.0004113545,0.001966299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009186434,"about_ca_system_score_gemma":0.0003486134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03382587,"about_ca_topic_score_gemma":0.06785074,"domain_scores_codex":[0.9999311,0.000005062319,0.000005124298,0.00002702785,0.00002330331,0.000008478178],"domain_scores_gemma":[0.999912,0.000008672596,0.00003716673,0.000006718319,0.00002252295,0.00001288998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007369929,0.0001291483,0.09699661,0.001220432,0.0001220785,0.004634152,0.002759447,0.001646864,0.04698658,0.007022497,0.09282661,0.7449186],"study_design_scores_gemma":[0.0001579009,0.000241812,0.5313781,0.0006725083,0.00011041,0.004728733,0.0009738003,0.0005070101,0.001896221,0.001027621,0.4582559,0.0000500241],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4306019,0.02568008,0.002720017,0.0008280298,0.0007364474,0.0004526394,0.004554116,0.0009577968,0.5334691],"genre_scores_gemma":[0.9406218,0.008860406,0.005014946,0.000949674,0.0003791839,0.0002563027,0.002612757,0.00003188,0.04127303],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03382587,"threshold_uncertainty_score":0.067258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04972318993589236,"score_gpt":0.2432301048095796,"score_spread":0.1935069148736872,"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."}}