{"id":"W6931614310","doi":"10.5683/sp3/yl7j3j","title":"Acronym War!","year":2017,"lang":"en","type":"dataset","venue":"Borealis","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University; Dalhousie University","funders":"","keywords":"Acronym; Subject (documents)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001368773,0.001400469,0.001047695,0.002708337,0.0007059126,0.003380278,0.001698885,0.001113937,0.2010726],"category_scores_gemma":[0.011769,0.0005176905,0.001167484,0.004378629,0.0004859725,0.002560408,0.002640919,0.00189194,0.3572404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008445354,"about_ca_system_score_gemma":0.00182352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01308764,"about_ca_topic_score_gemma":0.03016696,"domain_scores_codex":[0.9988875,0.0002092569,0.0001199715,0.0003342646,0.0002900209,0.0001589142],"domain_scores_gemma":[0.9966021,0.0006950654,0.0002777149,0.0008609355,0.00106717,0.0004969835],"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":[0.0000129571,0.000001761338,0.000127098,0.0000455766,0.000002832644,0.00000256183,0.000002728896,0.00001821534,0.00001357053,0.0000997522,0.998774,0.0008989916],"study_design_scores_gemma":[0.00005334221,0.00000627489,0.0009762442,0.00006904161,0.000004907851,0.00002863187,0.00002194344,0.00008940801,0.00007536467,0.0005277151,0.9981381,0.000009072314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001691502,0.0002717246,0.0003323199,0.0008924417,0.0007586831,0.00002745614,0.989311,0.002184803,0.006052446],"genre_scores_gemma":[0.0006709542,0.0002183889,0.0004763889,0.0006124522,0.0001196263,0.00007362738,0.9911997,0.000857088,0.005771763],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2010726,"threshold_uncertainty_score":0.6726549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02810322790771516,"score_gpt":0.3261362848029529,"score_spread":0.2980330568952377,"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."}}