{"id":"W4239508341","doi":"10.1017/cjn.2015.404","title":"Thank you to our Reviewers","year":2016,"lang":"fr","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Nutrition, Health, and Society Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Content (measure theory); Computer science; Action (physics); Information retrieval; World Wide Web; Mathematics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.009142442,0.0006551003,0.001069559,0.0004437736,0.006589216,0.0009744004,0.003469504,0.0004066232,0.0007487288],"category_scores_gemma":[0.005317069,0.0002663966,0.0007341541,0.002846109,0.007463765,0.001624164,0.0001636133,0.001242774,0.00007588819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006401445,"about_ca_system_score_gemma":0.002582202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004674239,"about_ca_topic_score_gemma":0.172268,"domain_scores_codex":[0.9905113,0.002309381,0.001673853,0.001019875,0.001378716,0.003106898],"domain_scores_gemma":[0.9910347,0.001220423,0.001162503,0.0001514229,0.001260411,0.005170541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001422096,0.0001191473,0.8189067,0.00004384045,0.00005073655,0.003847769,0.0008563224,0.0001924495,0.0002477378,0.004231398,0.07850768,0.09285396],"study_design_scores_gemma":[0.0006371308,0.1430357,0.3016642,0.0009364459,0.0001457211,0.02219479,0.002925964,0.00004005907,0.000135065,0.04380863,0.4832083,0.001268046],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7209073,0.01716129,0.00001714256,0.2547958,0.005222142,0.0002865646,0.00009047352,0.00002007264,0.001499205],"genre_scores_gemma":[0.9534835,0.02270463,0.001527734,0.01784042,0.003027003,0.000006751741,3.537455e-7,0.000007945624,0.001401716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5172426,"threshold_uncertainty_score":0.9999788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05149738890037802,"score_gpt":0.2789696060365726,"score_spread":0.2274722171361945,"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."}}