{"id":"W6942334740","doi":"10.1371/journal.pone.0313854.g004","title":"MoCA scores distribution and audiometry results for participants.","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Audiogram; Audiometry; Montreal Cognitive Assessment; Distribution (mathematics); Histogram; Value (mathematics)","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":[0.0003242055,0.0004694096,0.0002446607,0.001763628,0.0003321271,0.0003252531,0.0003039997,0.0002880207,0.06297989],"category_scores_gemma":[0.002682704,0.00006389058,0.0002446791,0.0008874417,0.0001279366,0.0004349938,0.0004110039,0.0002851501,0.01002311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003096593,"about_ca_system_score_gemma":0.0004292725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01130403,"about_ca_topic_score_gemma":0.01542341,"domain_scores_codex":[0.9998606,0.00001050806,0.00001633704,0.00004705625,0.00003844489,0.00002696159],"domain_scores_gemma":[0.9995494,0.00007235591,0.00008868353,0.00004709305,0.0001966979,0.00004576008],"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":[0.003126959,0.0004039664,0.2863946,0.0004822025,0.0002202137,0.0007497236,0.001303377,0.0004388513,0.005869613,0.002221028,0.3110274,0.387762],"study_design_scores_gemma":[0.0001160494,0.0005081971,0.9118609,0.0002016579,0.00009065525,0.002307791,0.0009472543,0.0008172472,0.001372317,0.001876513,0.07982367,0.00007778343],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.678874,0.002442464,0.007112306,0.001014838,0.0004239015,0.001351089,0.1983014,0.002549961,0.10793],"genre_scores_gemma":[0.8889574,0.0008253456,0.005557437,0.0002587088,0.00008845656,0.002404052,0.04643512,0.0002395006,0.05523403],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.06297989,"threshold_uncertainty_score":0.2106887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05166952198538678,"score_gpt":0.2720066124110563,"score_spread":0.2203370904256695,"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."}}