{"id":"W6931648756","doi":"10.5281/zenodo.5657450","title":"Acantholycosa zonsteini Marusik & Omelko, 2017, sp. n.","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Statistical Methods and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Embolus; Carapace; Animal species; Paratype","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":[0.00009780461,0.0007176477,0.0004707068,0.00246525,0.001608809,0.000627947,0.0005208776,0.0006947632,0.006419532],"category_scores_gemma":[0.0004739017,0.000296914,0.0002229401,0.00112542,0.0008037197,0.001530465,0.001104701,0.000592547,0.001860122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006202577,"about_ca_system_score_gemma":0.0005746615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00708024,"about_ca_topic_score_gemma":0.01541333,"domain_scores_codex":[0.9998574,0.000008833066,0.00001868916,0.00005104025,0.00004534136,0.00001866052],"domain_scores_gemma":[0.9998531,0.0000238068,0.000064626,0.00001279004,0.00002860354,0.0000170339],"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":[0.000583943,0.0002150723,0.06205316,0.003745611,0.0002353933,0.006043207,0.004248809,0.001756468,0.04536499,0.006815123,0.01644869,0.8524895],"study_design_scores_gemma":[0.0001688753,0.0001583603,0.5976185,0.001553292,0.0004001366,0.02065278,0.003344958,0.001195741,0.003724485,0.003917121,0.3671919,0.00007395714],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5829772,0.06270006,0.01017637,0.001044997,0.001153818,0.00181629,0.005940435,0.000805878,0.3333849],"genre_scores_gemma":[0.9728644,0.008742795,0.005333813,0.0003231597,0.0002546136,0.0002394626,0.001576628,0.00003789683,0.01062716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00708024,"threshold_uncertainty_score":0.02147549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1721059347104387,"score_gpt":0.3835158859590861,"score_spread":0.2114099512486474,"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."}}