{"id":"W6911805805","doi":"10.5281/zenodo.14951221","title":"Coproica ferruginata","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Guelph","funders":"","keywords":"Seta; Scutellum; Bristle; Dorsum; Anterior surface","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":[0.00005524268,0.0004951931,0.0002250436,0.001159927,0.001104172,0.0002269308,0.0003752817,0.0002005675,0.01433907],"category_scores_gemma":[0.0001600096,0.0001219295,0.0001548623,0.0004138073,0.0003161752,0.0004160574,0.0005409113,0.0001480098,0.002675977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000568581,"about_ca_system_score_gemma":0.0002046226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02163057,"about_ca_topic_score_gemma":0.04516517,"domain_scores_codex":[0.9999427,0.000005270801,0.000003996307,0.00002486311,0.00001138907,0.0000117623],"domain_scores_gemma":[0.9999633,0.000004386038,0.00001369702,0.000004509265,0.000008373562,0.000005743901],"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":[0.0006013189,0.000187209,0.07179193,0.00124743,0.0001258587,0.003139967,0.004619545,0.001056936,0.07455814,0.005576956,0.01804793,0.8190469],"study_design_scores_gemma":[0.00004716708,0.0002750544,0.5583151,0.0002573814,0.00009796191,0.005956814,0.001699729,0.0005091577,0.003717052,0.0009141698,0.4281643,0.00004608614],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6523481,0.006756884,0.001744224,0.0002101051,0.0000915319,0.0001630676,0.001357784,0.0006770217,0.3366513],"genre_scores_gemma":[0.9656711,0.001050794,0.000784684,0.0001173717,0.00005006897,0.00003740039,0.0008237876,0.00002665951,0.03143819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02163057,"threshold_uncertainty_score":0.04796892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07664653627459098,"score_gpt":0.2385946856391224,"score_spread":0.1619481493645314,"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."}}