{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002291151,0.00007462372,0.0001089826,0.00008910588,0.0006249439,0.0000761232,0.0002728404,0.0000644478,0.02501122],"category_scores_gemma":[0.0001602921,0.00006959552,0.00003982291,0.0002711377,0.00008359044,0.00006260945,0.0002734936,0.0002187042,0.04836395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005399357,"about_ca_system_score_gemma":0.000003060434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003981292,"about_ca_topic_score_gemma":2.798432e-8,"domain_scores_codex":[0.9992115,0.00007030749,0.000130074,0.0002518487,0.000137177,0.0001990753],"domain_scores_gemma":[0.999256,0.00001528564,0.00004143229,0.0003701509,0.0001980295,0.0001191288],"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":[0.0004260972,0.0006266767,0.000594976,0.0001857147,0.0001732328,0.00003314445,0.0007450281,0.00002838005,0.3005113,0.04645552,0.5011671,0.1490528],"study_design_scores_gemma":[0.0005319709,0.0002797728,0.00385722,0.00001615882,0.000013318,0.0001501161,0.00009251889,0.0001150063,0.001971665,0.0001346612,0.9927589,0.0000787091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4700325,0.00009842726,0.000398894,0.002457202,0.00007888317,0.0006688213,0.00009420609,0.0007378353,0.5254332],"genre_scores_gemma":[0.992573,0.00003957617,0.0001601614,0.0003667909,0.00009008968,2.233073e-8,0.001290748,0.0004329761,0.005046617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5225406,"threshold_uncertainty_score":0.97588,"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."}}