{"id":"W6942893182","doi":"10.15454/hnxeod/jdd2ja","title":"VR2AR-546347.txt","year":2020,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; Ocean Tracking Network","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001430178,0.0028531,0.002120143,0.004412019,0.0008342452,0.004242427,0.003177315,0.002772795,0.1937617],"category_scores_gemma":[0.008469672,0.001070751,0.001630863,0.008897468,0.0004862584,0.002085841,0.002104072,0.001835101,0.2597387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617287,"about_ca_system_score_gemma":0.002313493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03164005,"about_ca_topic_score_gemma":0.03659147,"domain_scores_codex":[0.9985703,0.000288382,0.0001402152,0.000514038,0.0002908773,0.00019608],"domain_scores_gemma":[0.9971155,0.001148239,0.0002471367,0.0006962338,0.0005082997,0.0002846461],"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":[0.00005652613,0.00001212827,0.0003050602,0.0004522247,0.0000281812,0.000011624,0.00001653781,0.0002539116,0.00005262954,0.0004735839,0.9970974,0.001240353],"study_design_scores_gemma":[0.0002624648,0.00001489543,0.001423637,0.0001847408,0.00002364078,0.00002537391,0.00004845914,0.0003409619,0.0001638773,0.001191694,0.9962972,0.00002303679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004261061,0.00004105591,0.00003564445,0.0000381659,0.00001129084,0.000003312265,0.9988455,0.0004228322,0.0005596205],"genre_scores_gemma":[0.000247137,0.00005696376,0.0001665232,0.00004052528,0.00000722642,0.00003198002,0.9985762,0.0001798157,0.0006937172],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8062383,"threshold_uncertainty_score":0.6481975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2422283451484585,"score_gpt":0.3382169274135,"score_spread":0.09598858226504145,"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."}}