{"id":"W6931337644","doi":"10.5281/zenodo.6236040","title":"Typhlodromina conspicua Garman","year":2008,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spermatheca; Dorsum; Shield; Stab","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":[0.00008195479,0.0003628442,0.0001532549,0.0006633451,0.0006806773,0.0001079135,0.000202659,0.0002161387,0.004075389],"category_scores_gemma":[0.0001311525,0.0001375263,0.0001180536,0.0003179013,0.0003445221,0.0002841214,0.0005359496,0.0001964578,0.0007123091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002383944,"about_ca_system_score_gemma":0.0001777567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006500774,"about_ca_topic_score_gemma":0.02132752,"domain_scores_codex":[0.9999576,0.000003882806,0.000003307416,0.00001515,0.00001074273,0.000009317387],"domain_scores_gemma":[0.9999509,0.000006910116,0.00002215712,0.000004354409,0.000008382111,0.000007309195],"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":[0.001197385,0.0001664287,0.1256559,0.001213302,0.0001016065,0.008351705,0.005224255,0.0008390379,0.2028115,0.004792819,0.01113901,0.6385071],"study_design_scores_gemma":[0.00005857851,0.0006654951,0.9031967,0.0003800656,0.00013638,0.006572117,0.002357281,0.0004008203,0.009403507,0.001200325,0.07559957,0.00002908241],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9121996,0.003890082,0.0008592025,0.0002122441,0.00009691477,0.00006317386,0.0004783888,0.0001689234,0.08203145],"genre_scores_gemma":[0.9872172,0.001459694,0.001236137,0.0002741966,0.00002495067,0.00002903539,0.0003011915,0.000009480017,0.009447991],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006500774,"threshold_uncertainty_score":0.01363349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08826414199210769,"score_gpt":0.2723384924973059,"score_spread":0.1840743505051982,"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."}}