{"id":"W6911287252","doi":"10.5281/zenodo.10167219","title":"Gyrophaena gilvicollis Casey","year":2023,"lang":"en","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":"Natural Resources Canada; Agriculture and Agri-Food Canada; Canadian Forest Service","funders":"","keywords":"Habitat; Table (database); Vegetation (pathology); Snag","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":[0.0001609789,0.001152714,0.0006443153,0.002130397,0.001651172,0.0004743465,0.0008392135,0.0006830983,0.03608555],"category_scores_gemma":[0.0005124256,0.0002875912,0.0002197823,0.001064943,0.001129137,0.001262046,0.001423396,0.0007375603,0.01826181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001128955,"about_ca_system_score_gemma":0.0004607627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01910091,"about_ca_topic_score_gemma":0.04200442,"domain_scores_codex":[0.9997467,0.00002831016,0.00001619335,0.0001014435,0.00006518119,0.00004206696],"domain_scores_gemma":[0.9998533,0.00002528352,0.00005375716,0.00001776877,0.0000289853,0.00002100905],"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":[0.0004677009,0.0001771278,0.02124339,0.0008943867,0.00005035061,0.005465671,0.001951889,0.0008451788,0.01457732,0.008291707,0.1004037,0.8456317],"study_design_scores_gemma":[0.000139775,0.0003106882,0.1211058,0.0006305826,0.00008426327,0.005884923,0.001272775,0.000443279,0.001426358,0.002650606,0.8660146,0.00003640624],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1726264,0.02125589,0.003927618,0.001744501,0.001481906,0.0008874288,0.005829519,0.001544035,0.7907026],"genre_scores_gemma":[0.8682496,0.006876962,0.005261473,0.001785079,0.0007265687,0.0004594654,0.005663771,0.0001452204,0.1108319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03608555,"threshold_uncertainty_score":0.1207182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04770636585797298,"score_gpt":0.226045056678664,"score_spread":0.178338690820691,"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."}}