{"id":"W6931308084","doi":"10.5281/zenodo.6003384","title":"Megachile (Sayapis) frugalis subsp. frugalis frugalis Cresson 1872","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Single specimen","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":[0.0001466902,0.00023791,0.0001325604,0.0007537402,0.000632352,0.0002190693,0.0003516916,0.0001117086,0.003873194],"category_scores_gemma":[0.0002330618,0.0001181626,0.00008552607,0.0008513465,0.0002669119,0.0002539396,0.0002726385,0.0001991932,0.000781921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007882475,"about_ca_system_score_gemma":0.000454502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2066172,"about_ca_topic_score_gemma":0.59133,"domain_scores_codex":[0.999913,0.000007637512,0.000004823644,0.00002475826,0.0000314158,0.00001843355],"domain_scores_gemma":[0.9998193,0.00002737465,0.00006245501,0.00001761214,0.00005277704,0.00002047035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002909847,0.0001058003,0.5542119,0.0004193218,0.0001004382,0.001076422,0.005338039,0.0004672832,0.04536922,0.001178037,0.01964573,0.3717968],"study_design_scores_gemma":[0.000008729269,0.00005726687,0.9705889,0.00004369466,0.00002640059,0.0004793625,0.001306907,0.0001383937,0.001035457,0.00006869678,0.02623789,0.000008332752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652915,0.0009869374,0.0007794362,0.00008765162,0.00001506987,0.00005644424,0.002423843,0.00009049222,0.03026868],"genre_scores_gemma":[0.988978,0.000671548,0.00170956,0.00005482455,0.000005223287,0.00003830321,0.001883944,0.00001323564,0.006645492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2066172,"threshold_uncertainty_score":0.4108292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1603790111897356,"score_gpt":0.3666090830308539,"score_spread":0.2062300718411183,"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."}}