{"id":"W4394318317","doi":"10.6084/m9.figshare.4210227","title":"BIO205 2016 Tut0109 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":[0.001235433,0.001661929,0.00135543,0.003659417,0.0007076046,0.002556041,0.002224549,0.0013822,0.1472211],"category_scores_gemma":[0.007347458,0.0009111922,0.001059639,0.00725287,0.000404042,0.001108898,0.001751101,0.001555817,0.1252535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527002,"about_ca_system_score_gemma":0.003562457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0494752,"about_ca_topic_score_gemma":0.06605262,"domain_scores_codex":[0.9992439,0.000113069,0.0001241039,0.0002196313,0.0001633725,0.0001359464],"domain_scores_gemma":[0.9971247,0.0007640179,0.0003514807,0.0006541401,0.0007392027,0.0003663897],"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":[0.00005600842,0.00001167324,0.001095307,0.0004959613,0.00003012425,0.00001503039,0.00001994729,0.0002738214,0.00009335132,0.0004033204,0.9963256,0.001179889],"study_design_scores_gemma":[0.000296263,0.0000133738,0.006201359,0.0002556523,0.00003201518,0.00003805092,0.00007985417,0.0003025477,0.0002618227,0.001088031,0.9913998,0.00003125366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004373818,0.00001072101,0.00002672224,0.00002410449,0.000008909626,0.000003444326,0.9995735,0.0001102352,0.0001987089],"genre_scores_gemma":[0.000337946,0.00002990228,0.0001442881,0.00002988962,0.000008151364,0.00005057063,0.9987648,0.0001044648,0.0005300952],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8527789,"threshold_uncertainty_score":0.4925037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06506603242445791,"score_gpt":0.2854322608720364,"score_spread":0.2203662284475785,"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."}}