{"id":"W6943195824","doi":"10.15454/5jhumf/b8usrm","title":"DataCAND.tab","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":true,"ca_institutions":"Cape Breton University","funders":"","keywords":"Identification (biology); Selection (genetic algorithm); Product (mathematics); Population","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":[],"consensus_categories":[],"category_scores_codex":[0.001327506,0.002917741,0.002055302,0.003828519,0.0008885692,0.002982052,0.003112315,0.002752004,0.1716437],"category_scores_gemma":[0.007643172,0.001117524,0.001551639,0.006556216,0.0005004668,0.00137559,0.001795384,0.002019006,0.1397897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690258,"about_ca_system_score_gemma":0.002454914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02620892,"about_ca_topic_score_gemma":0.03397015,"domain_scores_codex":[0.9989688,0.0001620515,0.0001274619,0.0003943443,0.0001941627,0.0001531843],"domain_scores_gemma":[0.9963635,0.001623832,0.0003514263,0.0008111222,0.0005452156,0.0003049613],"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":[0.0001328486,0.00004290772,0.001476253,0.001253492,0.00006749836,0.00003916756,0.00003282306,0.0006096775,0.000208625,0.0007204073,0.9925849,0.002831528],"study_design_scores_gemma":[0.0005732928,0.00003110016,0.005232113,0.0003640325,0.00006288795,0.00007566422,0.00006545165,0.0004881708,0.0004161687,0.002139864,0.9905089,0.00004241461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006258616,0.00002466178,0.00004162916,0.00002123911,0.00000721992,0.000004463957,0.9993197,0.0002484114,0.0002701299],"genre_scores_gemma":[0.0003991986,0.00004371117,0.0002798416,0.0000422218,0.000004312217,0.00004955927,0.9986285,0.0001236192,0.0004289441],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1716437,"threshold_uncertainty_score":0.5742053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2485957287862239,"score_gpt":0.3422276516600429,"score_spread":0.09363192287381897,"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."}}