{"id":"W2610249665","doi":"10.18429/jacow-cyclotrons2016-mobs02","title":"In Memorium: Mike Craddock","year":2017,"lang":"en","type":"article","venue":"JACOW","topic":"Health and Conflict Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.004556319,0.001542666,0.001460006,0.001041897,0.003711124,0.005534063,0.001977533,0.005841955,0.02922834],"category_scores_gemma":[0.02632469,0.0005799223,0.0009645545,0.0004347258,0.001953766,0.003765424,0.003075943,0.02267469,0.02495289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003451199,"about_ca_system_score_gemma":0.006920086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00630042,"about_ca_topic_score_gemma":0.009545418,"domain_scores_codex":[0.9972063,0.0004528548,0.0002550423,0.0006073149,0.001140696,0.0003377728],"domain_scores_gemma":[0.9839568,0.002082582,0.0005681612,0.0004773768,0.008263291,0.004651777],"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":[0.000006467328,0.000004187716,0.00002268972,0.000011357,0.0000016483,0.00004272024,0.00002811627,0.000004864516,0.00001555455,0.0001887422,0.9976007,0.002072977],"study_design_scores_gemma":[0.000009019989,0.00001494424,0.0002024538,0.0001039854,0.000005160923,0.0002672674,0.0002524086,0.00002713873,0.00007473204,0.000652409,0.9983768,0.00001358024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0001673863,0.004300108,0.0002314458,0.5038717,0.4860241,0.00003533868,0.000167629,0.0001025289,0.005099708],"genre_scores_gemma":[0.006161024,0.009068771,0.0008327843,0.4979168,0.3117752,0.0001949454,0.0003099056,0.0002451624,0.1734954],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02922834,"threshold_uncertainty_score":0.09777862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1679941472429003,"score_gpt":0.5636291257706182,"score_spread":0.3956349785277178,"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."}}