{"id":"W6911849661","doi":"10.5281/zenodo.14670965","title":"Agromyza mitarakensis Boucher 2025, n. sp.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Agricultural pest management studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Orbit (dynamics); Type (biology); Margin (machine learning); Section (typography); Midpoint","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":[0.0002095655,0.0006811536,0.000784127,0.00427514,0.001456652,0.0004542932,0.0005342813,0.0006047244,0.02227216],"category_scores_gemma":[0.0003656705,0.0003467193,0.0002100004,0.002946594,0.0004058997,0.001413526,0.0005937356,0.0006519352,0.01273447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008387216,"about_ca_system_score_gemma":0.0005719257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009807265,"about_ca_topic_score_gemma":0.02825664,"domain_scores_codex":[0.9998331,0.00001365172,0.00002272072,0.00007193681,0.00003750768,0.0000209185],"domain_scores_gemma":[0.9997937,0.0000295085,0.00006585194,0.00003443798,0.00004842004,0.00002804417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001113933,0.0002648793,0.03659762,0.004759019,0.0001624114,0.006352286,0.005848237,0.001298011,0.1108195,0.007541613,0.3100628,0.5151797],"study_design_scores_gemma":[0.0001800694,0.0001400921,0.2075766,0.0004732907,0.0002176315,0.008504698,0.001361113,0.0004045616,0.002514407,0.00126139,0.7773194,0.00004667803],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3201721,0.04295886,0.02619086,0.003981446,0.00291758,0.00424321,0.2532302,0.004870254,0.3414356],"genre_scores_gemma":[0.6160883,0.01364963,0.0665746,0.001420062,0.001009008,0.003161103,0.1300257,0.000714238,0.1673574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02227216,"threshold_uncertainty_score":0.07450783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03217548273772838,"score_gpt":0.2262183974608911,"score_spread":0.1940429147231628,"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."}}