{"id":"W6939748381","doi":"10.6084/m9.figshare.12160221","title":"Additional file 9 of Disentangling the mechanisms shaping the surface ocean microbiota","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Correlation; Visualization; Association (psychology); Data visualization; Transitive relation; Subtropics","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":[0.001430734,0.001427313,0.001473817,0.002725868,0.001142438,0.002540332,0.002393281,0.001436573,0.7839996],"category_scores_gemma":[0.01807967,0.0006818632,0.001541329,0.004281489,0.0004076429,0.002517666,0.001625028,0.001272965,0.1646416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009993641,"about_ca_system_score_gemma":0.001822772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009280855,"about_ca_topic_score_gemma":0.01952819,"domain_scores_codex":[0.9992373,0.000104513,0.00009089563,0.0002609129,0.0001585009,0.0001478492],"domain_scores_gemma":[0.9910721,0.006092526,0.0005230066,0.0008175806,0.001036877,0.0004578778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002247949,0.00007781755,0.005182753,0.003534614,0.0001140821,0.0001209687,0.0001153279,0.0006596211,0.0004875262,0.0008377676,0.9815059,0.007138788],"study_design_scores_gemma":[0.002771661,0.0001976965,0.03927603,0.003218103,0.0002689734,0.0005499936,0.0007430609,0.003310397,0.001522872,0.01179472,0.9361804,0.0001661919],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0001932428,0.00001876102,0.0002095701,0.00004908481,0.00002736127,0.00002190572,0.9986905,0.0003973056,0.0003922615],"genre_scores_gemma":[0.005475971,0.0001144664,0.003808074,0.0002801454,0.00007005045,0.0004446328,0.9855682,0.0008697342,0.003368698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7839996,"threshold_uncertainty_score":0.3080983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03690616168740254,"score_gpt":0.1958201682225021,"score_spread":0.1589140065350996,"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."}}