{"id":"W4394066261","doi":"10.6084/m9.figshare.24668928","title":"Data supplement.pdf","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"category_scores_codex":[0.00173587,0.001155079,0.001587779,0.002371427,0.0006842904,0.002700062,0.001974079,0.00181111,0.5217401],"category_scores_gemma":[0.0176212,0.000779998,0.001490679,0.004994077,0.0003309598,0.001449998,0.001629576,0.00156418,0.2132104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425145,"about_ca_system_score_gemma":0.002996928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02096456,"about_ca_topic_score_gemma":0.03526362,"domain_scores_codex":[0.9988806,0.0002133232,0.000233908,0.0003141578,0.0001888762,0.0001692005],"domain_scores_gemma":[0.9933921,0.003156756,0.0006305672,0.0009350373,0.001512414,0.0003732004],"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":[0.000118104,0.00001744879,0.0009744748,0.002024718,0.00008155174,0.00002026701,0.00001737385,0.0002169692,0.00005194532,0.0006450527,0.9924862,0.003345795],"study_design_scores_gemma":[0.001292558,0.00004540283,0.008636571,0.001356983,0.0001228642,0.0001103757,0.00006226888,0.0003516357,0.0001523127,0.002365086,0.985463,0.00004088038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002506468,0.00003028327,0.00003112893,0.00005183602,0.00001648393,0.00001191403,0.9993001,0.00007835953,0.000454799],"genre_scores_gemma":[0.0006591617,0.0001112159,0.0004028923,0.0002345471,0.00002672681,0.0002147931,0.9962752,0.0001020045,0.001973513],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4782599,"threshold_uncertainty_score":0.6821797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07829475485393887,"score_gpt":0.3709826524405452,"score_spread":0.2926878975866063,"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."}}