{"id":"W6894252329","doi":"10.5281/zenodo.6537027","title":"Microphorella Becker 1909","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Seta; Wing; Femur; Tibia; Lesser Trochanter; Greater trochanter","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001036274,0.0007079323,0.0003570943,0.00208661,0.002182954,0.0004485657,0.0006928771,0.000643482,0.03536092],"category_scores_gemma":[0.0004924233,0.0003194508,0.0001897447,0.000786415,0.0005224865,0.001501868,0.001356118,0.0008735541,0.008799299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006470883,"about_ca_system_score_gemma":0.0003776113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004033228,"about_ca_topic_score_gemma":0.004142229,"domain_scores_codex":[0.9998042,0.00001757926,0.00001537287,0.0000708951,0.00006092104,0.00003108529],"domain_scores_gemma":[0.9998604,0.00003143459,0.00005428572,0.00001236831,0.00002308633,0.00001840392],"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":[0.0002697393,0.0001706677,0.01166668,0.001290393,0.00006045834,0.00233265,0.002100227,0.001160915,0.05056428,0.02046551,0.03927669,0.8706418],"study_design_scores_gemma":[0.00007398328,0.0003567389,0.1062084,0.001059017,0.00007186465,0.007543794,0.0013023,0.0006163425,0.005884099,0.005106329,0.8717163,0.00006089786],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2429623,0.02646345,0.0163618,0.001470987,0.001462173,0.001080345,0.00949082,0.001988507,0.6987196],"genre_scores_gemma":[0.8546374,0.007014169,0.01327622,0.0009216501,0.0006361754,0.000360581,0.00442595,0.0001150731,0.1186127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03536092,"threshold_uncertainty_score":0.118294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06488305849856085,"score_gpt":0.2732526132361723,"score_spread":0.2083695547376115,"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."}}