{"id":"W6949546690","doi":"10.5281/zenodo.3664788","title":"Paramyia pseudonitens Levesque-Beaudin & Mlynarek 2020, new species","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Vector-Borne Animal Diseases","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedicel; Seta; Femur; Apex (geometry); Dorsum","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001414532,0.0001626704,0.0001588991,0.00001879803,0.001271714,0.0007365776,0.0009207235,0.00005630697,0.06950676],"category_scores_gemma":[0.0005991959,0.0000878015,0.00009082954,0.0007617574,0.0001107487,0.0002433646,0.0007665481,0.0001925716,0.01932619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005244713,"about_ca_system_score_gemma":0.000002597508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004579328,"about_ca_topic_score_gemma":0.000002458151,"domain_scores_codex":[0.9983981,0.000189883,0.0002105372,0.0004640677,0.0003505568,0.0003868649],"domain_scores_gemma":[0.9990413,0.00003762091,0.00007959599,0.0001039845,0.0002462126,0.0004913206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001106936,0.00008834785,0.00007002342,0.00001595216,0.00002869247,0.00003576632,0.0004022058,0.00001527065,0.172722,0.001843826,0.7658482,0.05881909],"study_design_scores_gemma":[0.0001682247,0.0004809029,0.05078125,0.00001037706,0.00001360565,0.00002221868,0.0004233556,0.00007538555,0.0007160913,0.00009929015,0.9470116,0.0001976877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8116906,0.000483555,0.0002120301,0.03516133,0.0001245536,0.0008505517,0.001082971,0.002407904,0.1479865],"genre_scores_gemma":[0.9937947,0.000125966,0.00008424272,0.001231223,0.0007051023,2.657366e-8,0.00123445,0.00009058917,0.002733645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1821041,"threshold_uncertainty_score":0.9814374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07337328548426722,"score_gpt":0.2266299732397141,"score_spread":0.1532566877554469,"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."}}