{"id":"W4398432408","doi":"10.7910/dvn/2b4rdi/fqboho","title":"familyhealthlv_5Feb2019DTAversion.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"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":[0.0009986431,0.002084565,0.001406791,0.004700698,0.0009601809,0.003072326,0.00283449,0.002536048,0.2941599],"category_scores_gemma":[0.008346132,0.0008406122,0.001417866,0.008549733,0.0004911188,0.001773318,0.002551187,0.001800741,0.2040417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001968647,"about_ca_system_score_gemma":0.002579484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04449365,"about_ca_topic_score_gemma":0.06829286,"domain_scores_codex":[0.9992105,0.0001316457,0.00009488469,0.0002300603,0.0001525764,0.0001802559],"domain_scores_gemma":[0.9967259,0.001239002,0.0003366841,0.0006141203,0.000686209,0.0003980463],"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":[0.00003278047,0.000007262348,0.0004041963,0.0004655648,0.00001732207,0.000010102,0.00001384225,0.00009670451,0.00003199489,0.0003686126,0.9975275,0.001024215],"study_design_scores_gemma":[0.0002821923,0.00001431495,0.002984144,0.0005330198,0.00003536517,0.00004442738,0.00007242434,0.0002380378,0.0001911003,0.00144495,0.9941299,0.00003008556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003400333,0.00003806729,0.00002112451,0.00006700498,0.00001353549,0.000002930056,0.9991373,0.0001551469,0.0005309427],"genre_scores_gemma":[0.0003310725,0.00007231622,0.000114326,0.0000973213,0.00001035296,0.00003944214,0.9981697,0.0001073763,0.001058169],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7058401,"threshold_uncertainty_score":0.984063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02993270074279624,"score_gpt":0.27647628918548,"score_spread":0.2465435884426837,"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."}}