{"id":"W6894166478","doi":"10.5281/zenodo.7167464","title":"Hydroporus striola","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fungal Biology and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Product (mathematics); Identification (biology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001042691,0.0005929311,0.000272867,0.001383853,0.001051037,0.0003332597,0.0003043367,0.0004290428,0.01321553],"category_scores_gemma":[0.0003411054,0.000220631,0.0001318052,0.0005844048,0.0006947493,0.001334421,0.00103791,0.0005669557,0.004666429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003025808,"about_ca_system_score_gemma":0.0002663351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002020365,"about_ca_topic_score_gemma":0.002107036,"domain_scores_codex":[0.9998838,0.0000148711,0.00001085816,0.00003745032,0.00003433915,0.00001875562],"domain_scores_gemma":[0.9998792,0.00002964586,0.00003364725,0.00001367616,0.0000223338,0.00002147036],"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":[0.001134694,0.0002829506,0.02502958,0.001695227,0.000120112,0.007078841,0.002345909,0.001655843,0.2451193,0.01004526,0.02187852,0.6836138],"study_design_scores_gemma":[0.0002379209,0.000929528,0.3433955,0.0008004023,0.0001493826,0.02694348,0.002405025,0.001095789,0.03218764,0.006463529,0.5853039,0.00008788051],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6490194,0.01218374,0.009647211,0.0009948816,0.0008476763,0.000639795,0.006631573,0.001080482,0.3189552],"genre_scores_gemma":[0.959407,0.003576932,0.003587642,0.0005989537,0.0002520592,0.0001473805,0.002424597,0.00004992774,0.0299555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01321553,"threshold_uncertainty_score":0.04421037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02412455228230444,"score_gpt":0.2560958901593063,"score_spread":0.2319713378770018,"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."}}