{"id":"W4398392838","doi":"10.7910/dvn/m1venf/eelnog","title":"childhealthlv_5Feb2019DTAversion.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Psychology; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008503923,0.001751658,0.001236284,0.003344089,0.0006431729,0.002361061,0.002145661,0.001924302,0.1818034],"category_scores_gemma":[0.006548969,0.0007645761,0.001326689,0.00642398,0.0003934026,0.001252819,0.001685073,0.001445538,0.1343205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537784,"about_ca_system_score_gemma":0.002003056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0326208,"about_ca_topic_score_gemma":0.052259,"domain_scores_codex":[0.9993196,0.0001144598,0.00009385659,0.0002075034,0.0001314339,0.0001332556],"domain_scores_gemma":[0.9976173,0.000934061,0.0002985751,0.0004549541,0.0004203796,0.0002745712],"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":[0.00005818143,0.00001257004,0.001118807,0.0005405759,0.00003239467,0.0000144272,0.00001465066,0.0001756914,0.00004975548,0.0004162916,0.9958528,0.001713949],"study_design_scores_gemma":[0.0003988132,0.00002156461,0.006227441,0.0004781383,0.00005837725,0.00006974227,0.00005420371,0.0003951179,0.0002667102,0.001417048,0.9905809,0.00003203468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005982922,0.00005077993,0.00002487131,0.00005956897,0.00001191087,0.000003151878,0.999118,0.0001735989,0.0004982417],"genre_scores_gemma":[0.000557442,0.0001003206,0.0001379632,0.0001075481,0.00001175936,0.00003904928,0.9980748,0.00009174232,0.0008793269],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8181965,"threshold_uncertainty_score":0.6081932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851900924634647,"score_gpt":0.2789519502224858,"score_spread":0.2604329409761393,"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."}}