{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004108359,0.0001224027,0.0001558199,0.0001419842,0.001883833,0.0001838824,0.0004806514,0.00006625972,0.008321317],"category_scores_gemma":[0.0006534342,0.0001232421,0.00005051967,0.0003260968,0.0001333183,0.000177394,0.0003534697,0.0001612068,0.004361545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008897846,"about_ca_system_score_gemma":0.000003512633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009431122,"about_ca_topic_score_gemma":2.079488e-7,"domain_scores_codex":[0.9987023,0.0001961774,0.0002611217,0.0002704624,0.0002980663,0.0002718876],"domain_scores_gemma":[0.9989269,0.00003670558,0.0001091805,0.0003945337,0.0003997635,0.0001328701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004777357,0.0002257292,0.00001625775,0.0001369722,0.00005268495,0.00005959977,0.002738992,0.000057393,0.001412027,0.04223227,0.9439919,0.009028418],"study_design_scores_gemma":[0.0005806535,0.0001441873,0.000293387,0.00003454138,0.00001388838,0.0005275005,0.0002167794,0.00068128,0.0004325211,0.001583267,0.9952868,0.0002051693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1924607,0.000131474,0.01741417,0.0008422799,0.0003347175,0.001123111,0.0002285614,0.002625309,0.7848396],"genre_scores_gemma":[0.9881929,0.0000847971,0.002875659,0.0001129998,0.0002402923,5.496113e-8,0.0005693539,0.001574672,0.006349337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7957321,"threshold_uncertainty_score":0.9994156,"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."}}