{"id":"W6912511514","doi":"10.5281/zenodo.4511460","title":"Gimnomera cerea : Vockeroth 1965","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research on scale insects","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency; McGill University","funders":"","keywords":"Seta; Sensillum; Black spot; Head (geology); Black male","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001467246,0.0009407444,0.0003292779,0.001336652,0.001631586,0.0005165794,0.00100989,0.0007987246,0.0400687],"category_scores_gemma":[0.0003363661,0.0002823914,0.0001671452,0.0009150874,0.0007276304,0.001239198,0.001284043,0.001033287,0.01517049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022752,"about_ca_system_score_gemma":0.0004795051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03425492,"about_ca_topic_score_gemma":0.06774887,"domain_scores_codex":[0.9997794,0.000015022,0.000009756432,0.0001023231,0.00006477284,0.00002878562],"domain_scores_gemma":[0.9998863,0.00001716234,0.00004088813,0.00001526634,0.00002717504,0.0000132343],"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":[0.000322816,0.0001201368,0.006912043,0.0007729827,0.00002952873,0.001725637,0.002199886,0.0003754785,0.02034629,0.006904199,0.09084319,0.8694477],"study_design_scores_gemma":[0.00006021369,0.0001035531,0.06692111,0.0003294116,0.0000376488,0.002509237,0.0006872541,0.0002976531,0.001758658,0.0007527268,0.9265196,0.00002300288],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07858158,0.01425376,0.004922687,0.001401219,0.001149549,0.0004397011,0.003260234,0.00173792,0.8942534],"genre_scores_gemma":[0.6775787,0.01087027,0.01261118,0.002910503,0.0006430023,0.0002817813,0.00610407,0.0005486134,0.2884518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0400687,"threshold_uncertainty_score":0.1340432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06808548051097969,"score_gpt":0.2338146694574842,"score_spread":0.1657291889465045,"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."}}