{"id":"W6892453849","doi":"10.5281/zenodo.10167221","title":"Gyrophaena involuta 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); Russula; Taiga; 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":[0.0001584684,0.001071412,0.000610803,0.002354833,0.001671359,0.0004719434,0.0008120316,0.0008101368,0.03287303],"category_scores_gemma":[0.0005792588,0.0002541256,0.000259491,0.001315036,0.001268519,0.001583532,0.0013717,0.0008500909,0.01698312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009001515,"about_ca_system_score_gemma":0.0003306236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01148934,"about_ca_topic_score_gemma":0.02167616,"domain_scores_codex":[0.9996402,0.00004217539,0.00002984719,0.0001508795,0.00009101826,0.00004592758],"domain_scores_gemma":[0.9998037,0.00003551336,0.0000740133,0.00002834682,0.00003775881,0.00002066921],"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":[0.0006259638,0.0002299967,0.02187907,0.0009207063,0.00004885844,0.006469974,0.001896482,0.001268984,0.02265266,0.01000619,0.07297111,0.8610301],"study_design_scores_gemma":[0.0001398371,0.0004105846,0.1246677,0.0005358862,0.00007325366,0.009313127,0.001396394,0.0006511653,0.002240154,0.003319317,0.8572131,0.00003943253],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2000159,0.02184971,0.005508362,0.00172497,0.001906406,0.0009778268,0.006222624,0.001225317,0.7605689],"genre_scores_gemma":[0.897144,0.005011269,0.005189686,0.001342449,0.0005247754,0.0002782215,0.004315623,0.00011126,0.08608266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03287303,"threshold_uncertainty_score":0.1099713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05255958056139487,"score_gpt":0.2258267879248844,"score_spread":0.1732672073634896,"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."}}