{"id":"W7001010187","doi":"","title":"Hour 1, Segments 2 and 3 - Tim","year":2017,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Courtesy; Chronic pain; Back pain; Chronic disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002223412,0.0002774417,0.0003892418,0.0001038121,0.00009345033,0.0002548758,0.00122883,0.0002434182,0.06919874],"category_scores_gemma":[0.00008703975,0.0002631379,0.00009332033,0.000005108137,0.0001112248,6.165251e-7,0.0004686158,0.0001697589,0.009451661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002297494,"about_ca_system_score_gemma":0.00002820853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00297516,"about_ca_topic_score_gemma":0.0007196715,"domain_scores_codex":[0.998642,0.00004612597,0.0003557982,0.0002721491,0.0004360764,0.0002478744],"domain_scores_gemma":[0.9979234,0.00004134345,0.0007535844,0.001072637,0.00008102437,0.0001280454],"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":[0.000004451328,0.000014597,0.000003237471,0.0001364937,0.0000692456,0.0000167388,0.00004676105,0.000009878187,7.595075e-8,0.00005129298,0.9894925,0.01015478],"study_design_scores_gemma":[0.0002926952,0.00004860515,0.00001472323,0.0001859284,0.0000385819,0.00004651044,0.000006116967,0.0001730956,0.000003238568,0.000012382,0.9989128,0.0002653905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002959278,0.0002937299,0.00003370587,0.0001409522,0.0002184858,0.0001941028,0.00009135621,0.0001593813,0.9988653],"genre_scores_gemma":[0.00009286909,0.0003245596,0.007580901,0.0002152709,0.00008245667,0.000006338588,0.00008861138,0.00004961972,0.9915594],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05974707,"threshold_uncertainty_score":0.9999821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006382003385095721,"score_gpt":0.1936379818362043,"score_spread":0.1872559784511086,"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."}}