{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002419931,0.004143116,0.002138723,0.00493161,0.001491202,0.003830574,0.0044825,0.002975158,0.145209],"category_scores_gemma":[0.01369254,0.001413655,0.002427607,0.006438057,0.00081967,0.003186698,0.003918553,0.003415607,0.2949257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00206617,"about_ca_system_score_gemma":0.00367082,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01782058,"about_ca_topic_score_gemma":0.03334815,"domain_scores_codex":[0.9971398,0.000419813,0.0002598552,0.0009555931,0.000671146,0.0005538553],"domain_scores_gemma":[0.9941972,0.00120171,0.0003443363,0.001985929,0.001674294,0.0005965103],"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":[0.00005944311,0.00002127588,0.0002615171,0.0002673083,0.0000155909,0.000008695322,0.00001563747,0.00009019749,0.0001100781,0.0001762036,0.9975321,0.001441849],"study_design_scores_gemma":[0.0003326731,0.00005004897,0.00217663,0.0002084427,0.00003657375,0.00007133175,0.00009834699,0.0005078899,0.001043233,0.001410346,0.9940119,0.00005253557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001636578,0.00005538403,0.0001614882,0.00007246699,0.00006755478,0.00002481696,0.9962703,0.002195225,0.0009890781],"genre_scores_gemma":[0.0002633495,0.00002764675,0.0004445726,0.00005767361,0.00001251418,0.000113888,0.9977451,0.0005421914,0.0007930329],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9821794,"threshold_uncertainty_score":0.4857724,"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."}}