{"id":"W4398606414","doi":"10.7910/dvn/2b4rdi/fz4fyp","title":"familyhealthlv_3Oct2019-1.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":"Computer science; Geology","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":[0.001022575,0.002335848,0.001580872,0.004353074,0.0009685562,0.003254215,0.003256573,0.002804735,0.3130296],"category_scores_gemma":[0.008727722,0.0009032377,0.001554431,0.007864624,0.0005036811,0.001989305,0.00283823,0.001860366,0.2390486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002052817,"about_ca_system_score_gemma":0.002518884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04094643,"about_ca_topic_score_gemma":0.06192509,"domain_scores_codex":[0.9991785,0.0001506277,0.0001020203,0.0002331958,0.0001441792,0.0001915211],"domain_scores_gemma":[0.9969663,0.001111905,0.0003051115,0.0005717105,0.0006599912,0.0003850455],"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":[0.00003253018,0.000006293424,0.0003137265,0.0004163519,0.00001576648,0.000007956468,0.00001092091,0.0000898444,0.00002443467,0.0002815044,0.9979177,0.0008829717],"study_design_scores_gemma":[0.0003420177,0.00001852823,0.002955371,0.0006913159,0.00003770352,0.00004616083,0.00008051298,0.0002783302,0.0001908162,0.001739123,0.9935839,0.00003610966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002700497,0.00003621244,0.00001867457,0.00006578967,0.00001575471,0.000002973567,0.9992305,0.0001577618,0.0004452108],"genre_scores_gemma":[0.000273942,0.00007247686,0.0001024318,0.0001053589,0.00001178528,0.00004481262,0.9983046,0.0001074081,0.0009771519],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6869704,"threshold_uncertainty_score":0.9798799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03378847733736906,"score_gpt":0.2859726829272233,"score_spread":0.2521842055898542,"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."}}