{"id":"W6969113370","doi":"10.5281/zenodo.8110961","title":"Xylota florum","year":2020,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Rivière-du-Loup","funders":"","keywords":"Identification (biology); Process (computing); Product (mathematics)","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":[0.0001679773,0.001496587,0.0004651466,0.00239144,0.002067902,0.0007575477,0.0004035847,0.0005068702,0.03391647],"category_scores_gemma":[0.0003220218,0.0002504627,0.0002543763,0.001033105,0.0005186349,0.001463785,0.001467773,0.000742186,0.01455955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045506,"about_ca_system_score_gemma":0.0002820144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007173696,"about_ca_topic_score_gemma":0.006600252,"domain_scores_codex":[0.9997993,0.00003648486,0.00001390778,0.00006199871,0.00003476897,0.00005343827],"domain_scores_gemma":[0.9998876,0.00001900353,0.00003431833,0.00001118358,0.00001951841,0.00002836599],"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":[0.0007528663,0.0001637379,0.01540425,0.001330015,0.00005737167,0.001948358,0.002808044,0.0008997947,0.07391775,0.01122366,0.02977003,0.8617243],"study_design_scores_gemma":[0.00007834444,0.0003117737,0.1397877,0.0006303867,0.00006408022,0.005009984,0.001543014,0.0004803419,0.005597549,0.002425251,0.8440115,0.00006017158],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3648928,0.06957576,0.01130732,0.001877462,0.001281622,0.0005559481,0.01008602,0.002636424,0.5377867],"genre_scores_gemma":[0.8599855,0.01498456,0.005575586,0.001243041,0.0004699022,0.0002369939,0.005635824,0.0001586888,0.1117099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03391647,"threshold_uncertainty_score":0.1134619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05776234672613112,"score_gpt":0.2193382610318761,"score_spread":0.1615759143057449,"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."}}