{"id":"W4394110321","doi":"10.6084/m9.figshare.4123338","title":"BIO205 2016 Tut0109 Census 1 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":[],"consensus_categories":[],"category_scores_codex":[0.0012647,0.001689535,0.001389293,0.003769333,0.0007177917,0.002551003,0.002292363,0.001383641,0.1489916],"category_scores_gemma":[0.00750771,0.0009138102,0.00105259,0.007461516,0.0004138349,0.001119786,0.001769499,0.00157693,0.1275003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576619,"about_ca_system_score_gemma":0.00363513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04952081,"about_ca_topic_score_gemma":0.06675012,"domain_scores_codex":[0.9992307,0.0001141197,0.0001255096,0.0002240973,0.0001683911,0.0001370845],"domain_scores_gemma":[0.9970283,0.000807723,0.0003645631,0.0006614222,0.0007587373,0.000379324],"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":[0.00005703636,0.0000118335,0.001078626,0.0005262026,0.00003004877,0.00001450614,0.00001991025,0.0002651368,0.00009517394,0.000392732,0.9962928,0.001215915],"study_design_scores_gemma":[0.0002979267,0.00001373466,0.00607499,0.0002626006,0.00003220669,0.0000370694,0.00007940315,0.0002853811,0.0002621103,0.001065294,0.9915586,0.00003069338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004112925,0.00001087606,0.00002549301,0.00002311838,0.000008404322,0.000003407536,0.9995922,0.0001060112,0.000189213],"genre_scores_gemma":[0.0003132272,0.00003051882,0.0001401923,0.00002842613,0.000007735714,0.00004899867,0.9988258,0.00009843123,0.0005066288],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1489916,"threshold_uncertainty_score":0.4984267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06817542575893046,"score_gpt":0.2862304138675826,"score_spread":0.2180549881086521,"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."}}