{"id":"W4416597049","doi":"10.5256/f1000research.14029.d196720","title":"Dataset 1","year":2018,"lang":"it","type":"dataset","venue":"Faculty of 1000 Research Ltd","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001099203,0.003810323,0.001468369,0.005651394,0.001302257,0.002447471,0.003103549,0.003123089,0.0917323],"category_scores_gemma":[0.01012422,0.0005938822,0.001718485,0.007386336,0.0006718445,0.001758491,0.001695471,0.00237368,0.1344647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580579,"about_ca_system_score_gemma":0.003553561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01872284,"about_ca_topic_score_gemma":0.04272389,"domain_scores_codex":[0.9982791,0.0003895476,0.000168442,0.0005359307,0.0003726372,0.0002544477],"domain_scores_gemma":[0.9960138,0.001218714,0.0003045636,0.001019051,0.0009553759,0.0004885771],"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":[0.0001138566,0.00006063788,0.0006824882,0.0003907382,0.00003033148,0.00002737906,0.00001598594,0.0003602048,0.00009452422,0.0002746368,0.9945083,0.003440777],"study_design_scores_gemma":[0.0005899534,0.0001005567,0.004885856,0.0004210196,0.00008563701,0.0001614574,0.0001811247,0.00185806,0.0005128779,0.001989957,0.9891651,0.00004843561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009949785,0.0003501277,0.0001913199,0.0002737773,0.0001342222,0.00005719811,0.9939852,0.0008966659,0.00311646],"genre_scores_gemma":[0.0008514769,0.00008602925,0.0003568652,0.00008243699,0.00002320687,0.0001046934,0.9968412,0.00006146316,0.001592646],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9082677,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1136578389179751,"score_gpt":0.4407153625172091,"score_spread":0.327057523599234,"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."}}