{"id":"W4394128566","doi":"10.6084/m9.figshare.4210218","title":"BIO205 2016 Tut0108 Census 2 Data.xlsx","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Geography; Demography; Sociology; Population","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001245983,0.001672725,0.001366387,0.003568526,0.0006916006,0.002528226,0.002238647,0.00140079,0.1463832],"category_scores_gemma":[0.007414169,0.0009133897,0.001059685,0.007098851,0.0004008172,0.001106147,0.001737705,0.001556113,0.1247892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149085,"about_ca_system_score_gemma":0.003478363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04803658,"about_ca_topic_score_gemma":0.0640017,"domain_scores_codex":[0.9992467,0.0001144962,0.0001236336,0.0002196499,0.0001594948,0.0001359736],"domain_scores_gemma":[0.9971184,0.0007573763,0.0003462338,0.0006660054,0.0007476204,0.0003643972],"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":[0.00005587108,0.00001152028,0.001084842,0.0004865883,0.00002949421,0.00001451567,0.00001999654,0.0002710646,0.00009116943,0.0003815067,0.9963567,0.001196781],"study_design_scores_gemma":[0.0003034695,0.00001338943,0.006113523,0.0002516134,0.00003215562,0.00003735785,0.00008043673,0.0003080395,0.0002550264,0.001069383,0.9915046,0.00003101567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004580797,0.00001103784,0.00002829804,0.00002549041,0.000009320665,0.000003569783,0.9995587,0.0001175054,0.0002002106],"genre_scores_gemma":[0.0003607713,0.00003060122,0.0001517995,0.00003149382,0.000008722543,0.00005469254,0.9986976,0.0001114039,0.0005528164],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8536168,"threshold_uncertainty_score":0.4897004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06620028849470705,"score_gpt":0.2851594364341554,"score_spread":0.2189591479394484,"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."}}