{"id":"W6931493193","doi":"10.5281/zenodo.5311891","title":"FIGURES 62–68 in Revision of New World Leptocera Olivier (Diptera, Sphaeroceridae)","year":2009,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ridiculous; Key (lock)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006765911,0.001106805,0.0006254158,0.003740508,0.001112496,0.00117169,0.001400833,0.0006792018,0.3248733],"category_scores_gemma":[0.003508221,0.0003725176,0.0006618069,0.002999512,0.000804813,0.002387216,0.0009079666,0.001793902,0.1180791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002072594,"about_ca_system_score_gemma":0.00147764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02702652,"about_ca_topic_score_gemma":0.04902403,"domain_scores_codex":[0.9994984,0.00006977662,0.00006087743,0.0001029829,0.0002173453,0.00005064804],"domain_scores_gemma":[0.9984667,0.0001956285,0.0001431562,0.0001736496,0.0009028721,0.0001179848],"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":[0.00004770255,0.00001314133,0.0003267927,0.0002225366,0.00000815112,0.00006715325,0.0001024189,0.0001482593,0.0003151101,0.004635039,0.9041976,0.08991607],"study_design_scores_gemma":[0.000004419899,0.000005733308,0.001113949,0.0000496652,0.00000432654,0.00009803624,0.00003247192,0.00005579681,0.00008137588,0.0005835668,0.9979668,0.000003736909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.00231107,0.01028747,0.01755854,0.003622417,0.0351948,0.0006175661,0.04015138,0.004158452,0.8860983],"genre_scores_gemma":[0.02548866,0.01025297,0.03538512,0.001477595,0.005641284,0.0007416757,0.04724573,0.00279714,0.8709698],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.3248733,"threshold_uncertainty_score":0.9629864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3018923810886979,"score_gpt":0.4488681526319528,"score_spread":0.1469757715432549,"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."}}