{"id":"W6926062332","doi":"10.18738/t8/ejonhj/s81os3","title":"IMGEO2_2018151_DEV_JKB2t_Y83a.txt","year":2024,"lang":"en","type":"dataset","venue":"Texas Digital Library (University of Texas)","topic":"Maternal Mental Health During Pregnancy and Postpartum","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.001206568,0.002806461,0.001569429,0.002722233,0.0009484545,0.003244972,0.003840546,0.003013665,0.2092227],"category_scores_gemma":[0.005940275,0.001025229,0.001896836,0.004818384,0.0005451633,0.001635544,0.002816913,0.001991135,0.2821242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638979,"about_ca_system_score_gemma":0.002198573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02895765,"about_ca_topic_score_gemma":0.05527133,"domain_scores_codex":[0.9991698,0.0001509006,0.0000700353,0.0002607627,0.0001537254,0.0001947682],"domain_scores_gemma":[0.9981821,0.0005726047,0.0001748696,0.0004018275,0.0003630398,0.0003056045],"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":[0.00003721054,0.00001091871,0.0003743923,0.000292805,0.0000165221,0.00001026197,0.00001141385,0.0001285424,0.00004001008,0.0001958956,0.998082,0.0007999719],"study_design_scores_gemma":[0.0004361507,0.00002626122,0.002850517,0.0003027121,0.00003331394,0.00005395904,0.00006579919,0.0005210412,0.0002767712,0.001117407,0.9942843,0.00003175596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005386741,0.0000354983,0.00003011116,0.00007172503,0.00002673919,0.000005341247,0.9988024,0.000375961,0.0005982546],"genre_scores_gemma":[0.0001989188,0.00004457078,0.0001321421,0.00007574575,0.00001053807,0.00004443746,0.9984768,0.000117116,0.0008998145],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7907773,"threshold_uncertainty_score":0.6999196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248105507959641,"score_gpt":0.2248212037633616,"score_spread":0.2123401486837652,"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."}}