{"id":"W6912510168","doi":"10.5281/zenodo.6222789","title":"Hydroporus cagrankaya Fery & Erman, 2009, sp. n.","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Dorsum; Paratype; Head (geology); Margin (machine learning)","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":[0.00007300344,0.0004145356,0.0002456447,0.0007346513,0.0009664564,0.0001814648,0.0002921007,0.0002692362,0.006230361],"category_scores_gemma":[0.0002224204,0.0001754583,0.00007965265,0.0005281115,0.0005721879,0.0005916221,0.000510042,0.0002777851,0.001966253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004772946,"about_ca_system_score_gemma":0.0004752664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01562404,"about_ca_topic_score_gemma":0.02853303,"domain_scores_codex":[0.9999293,0.00000500485,0.000005691577,0.00002981986,0.00002049706,0.000009676789],"domain_scores_gemma":[0.9999144,0.0000152129,0.00003025199,0.000008350497,0.0000196312,0.00001213178],"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":[0.0009192076,0.0001660974,0.0596075,0.001926827,0.0001073249,0.00939358,0.002930097,0.001694693,0.07623757,0.003679679,0.05532681,0.7880105],"study_design_scores_gemma":[0.0001112311,0.0002531319,0.8345464,0.0004166371,0.00007707302,0.008746157,0.001950723,0.0006037339,0.003529886,0.00113372,0.1485871,0.00004422168],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7012776,0.009945533,0.00352984,0.0005485479,0.0005372711,0.0005677448,0.005830936,0.0006166259,0.2771458],"genre_scores_gemma":[0.9739875,0.00230482,0.003135122,0.0002034643,0.0001150796,0.0001527847,0.00218302,0.0000302937,0.01788787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01562404,"threshold_uncertainty_score":0.03106618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02200704522143757,"score_gpt":0.2154862256381132,"score_spread":0.1934791804166756,"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."}}