{"id":"W4398274873","doi":"10.7910/dvn/2b4rdi/emkqb5","title":"familyhealthlv_3Oct2019.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biology","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":["insufficient_payload"],"category_scores_codex":[0.0010373,0.002285585,0.001574606,0.004959945,0.0009815262,0.003450996,0.00318172,0.002692882,0.3268795],"category_scores_gemma":[0.009495283,0.0009451048,0.001499746,0.009323392,0.0005167073,0.002042457,0.002824569,0.001895124,0.2387906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002097621,"about_ca_system_score_gemma":0.002635473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04284771,"about_ca_topic_score_gemma":0.06028295,"domain_scores_codex":[0.9991608,0.0001451958,0.0001071779,0.0002396322,0.0001518755,0.0001953918],"domain_scores_gemma":[0.9965412,0.001275149,0.0003668429,0.0006528813,0.0007213998,0.0004424102],"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":[0.00003281319,0.000006468149,0.0003307069,0.0004135875,0.000016414,0.000008107973,0.00001153556,0.00008233649,0.00002236234,0.0002964578,0.9978807,0.0008985187],"study_design_scores_gemma":[0.0003456855,0.00001760085,0.003224791,0.000694823,0.00004013645,0.0000464917,0.0000812662,0.000247485,0.0001881562,0.001671123,0.9934069,0.00003558118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002697639,0.00003584697,0.0000162916,0.00006497272,0.00001403037,0.000002837226,0.9992368,0.000143421,0.0004587607],"genre_scores_gemma":[0.0003198324,0.00008176643,0.00009488934,0.0001053685,0.00001383189,0.00004658394,0.9981527,0.0001158703,0.001069183],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6731205,"threshold_uncertainty_score":0.9601247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03388255414283459,"score_gpt":0.2861443082314356,"score_spread":0.252261754088601,"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."}}