{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.02482516,0.001710047,0.002616469,0.00377434,0.001343667,0.0007266307,0.01166027,0.002174822,0.05471937],"category_scores_gemma":[0.01106556,0.001647434,0.0006041072,0.004805098,0.009996516,0.0008013598,0.008595238,0.00695424,0.5628971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598469,"about_ca_system_score_gemma":0.004154528,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01611772,"about_ca_topic_score_gemma":0.00229472,"domain_scores_codex":[0.9681068,0.005913368,0.002435806,0.003472148,0.01499375,0.005078118],"domain_scores_gemma":[0.9759397,0.001928112,0.001238734,0.009860209,0.009022383,0.002010855],"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":[0.001220197,0.001929885,0.00004688267,0.002417638,0.0009765544,0.0004147244,0.0001597342,0.000002536252,0.001807074,0.00002550511,0.9907403,0.0002589411],"study_design_scores_gemma":[0.001984975,0.002033941,0.0002998696,0.002024568,0.0002384779,0.00006194911,0.0003126784,0.00002949931,0.003190257,0.00009389406,0.9883325,0.001397445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002920494,0.0004724473,0.000001181599,0.001305973,0.0004552183,0.002339837,0.9939399,0.00007427826,0.001119076],"genre_scores_gemma":[0.00005477382,0.0007779903,0.0004166404,0.00006914634,0.001968352,0.0001741236,0.9798622,0.0004461256,0.01623063],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5081778,"threshold_uncertainty_score":0.9999564,"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."}}