{"id":"W6892687673","doi":"10.5281/zenodo.10166739","title":"Limnebius discolor Casey","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"White (mutation); State (computer science); Historical record; Center (category theory); New guinea","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":[0.0001377493,0.0005007161,0.0002472939,0.001354202,0.00114588,0.0004685991,0.0004327495,0.0005255388,0.01044892],"category_scores_gemma":[0.0005747413,0.0001789609,0.0001026838,0.0006640475,0.0005780592,0.001199587,0.0009174296,0.0005144908,0.004402278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008910829,"about_ca_system_score_gemma":0.0002114216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01110182,"about_ca_topic_score_gemma":0.01568284,"domain_scores_codex":[0.9997597,0.00002014314,0.00002020825,0.00008604923,0.00007792263,0.0000358162],"domain_scores_gemma":[0.9998329,0.00002512964,0.0000589235,0.000009134422,0.00005207405,0.00002187361],"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":[0.0005686091,0.0002006807,0.06840794,0.0007915679,0.00003270194,0.01073912,0.003919846,0.0007918677,0.04037416,0.007818506,0.07770742,0.7886475],"study_design_scores_gemma":[0.0000833513,0.0002538675,0.2348944,0.0006410743,0.00005051488,0.02170916,0.001894356,0.0008832611,0.004500591,0.002673839,0.7323649,0.0000506976],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4671336,0.02181803,0.005134794,0.002647293,0.00135084,0.0002478918,0.002344069,0.0009481933,0.4983753],"genre_scores_gemma":[0.9100579,0.004813835,0.003146242,0.0009675807,0.000243109,0.0001056787,0.001395761,0.00004943063,0.07922041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01110182,"threshold_uncertainty_score":0.03495514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05096385358767158,"score_gpt":0.230097917608159,"score_spread":0.1791340640204875,"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."}}