{"id":"W6948627371","doi":"10.5203/fk2/nv200l","title":"Mincome Baseline Data (Minc1)","year":2017,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Baseline (sea); Code (set theory); Data file; Data collection; MEDLINE","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002203151,0.000758221,0.0009398576,0.0003715602,0.0003311399,0.0003898062,0.0102705,0.0006573899,0.0009733842],"category_scores_gemma":[0.003470394,0.0007122088,0.0001381423,0.0001198221,0.000319656,0.0005167768,0.003667539,0.000747657,0.01067016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001552583,"about_ca_system_score_gemma":0.0004844883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.277846,"about_ca_topic_score_gemma":0.309728,"domain_scores_codex":[0.9958394,0.0002700383,0.0006421102,0.001469423,0.001046286,0.0007327291],"domain_scores_gemma":[0.9757209,0.0002278122,0.0009867295,0.02251105,0.0001788084,0.0003746735],"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":[0.00004976613,0.0001454572,0.000006410931,0.0001374134,0.0001563058,0.0005096238,0.000003180008,2.846357e-7,0.000003135812,0.000003202556,0.9982264,0.0007587885],"study_design_scores_gemma":[0.0005058505,0.00002949137,0.0002342451,0.0001877507,0.0005730901,0.00005629375,0.000003198716,0.0000668814,0.000003989042,0.00002934943,0.9975125,0.0007973966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[2.329569e-7,0.0004562428,0.000004204934,0.0002292641,0.0004369866,0.0004155002,0.9970013,0.0001805456,0.001275736],"genre_scores_gemma":[3.029263e-7,0.0002793584,0.0003338672,0.0002613424,0.002387138,0.00003930832,0.9958143,0.0002179269,0.0006664702],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03188193,"threshold_uncertainty_score":0.9999399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0794758825640615,"score_gpt":0.3612945376214381,"score_spread":0.2818186550573766,"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."}}