{"id":"W4300710825","doi":"10.1139/h11-150","title":"NOTE OF APPRECIATION / NOTE DE RECONNAISSANCE","year":2011,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001797762,0.0000606621,0.0001566071,0.00003947288,0.0002753979,0.000003946101,0.00005382365,0.00009712946,0.00007297537],"category_scores_gemma":[0.00002231302,0.00005651795,0.00003845197,0.0001215268,0.0003485455,0.00005975623,0.00001831816,0.00006486168,0.000005538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001164764,"about_ca_system_score_gemma":0.00003286613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003029864,"about_ca_topic_score_gemma":0.0001049204,"domain_scores_codex":[0.9994549,0.00006506535,0.0001279712,0.0001314948,0.00006271212,0.000157827],"domain_scores_gemma":[0.9996837,0.00004625686,0.0000872028,0.00007452233,0.00005846555,0.00004981533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000054832,0.0001780324,0.00004150889,0.00003286389,0.00002444276,2.602622e-7,0.02411788,0.0000010371,0.06810641,0.8849089,0.001074749,0.02145913],"study_design_scores_gemma":[0.001366574,0.00001007836,0.2025283,0.00001702376,0.00006677162,8.370525e-7,0.002071769,0.00002241474,0.009883362,0.149527,0.6343139,0.0001918613],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8107052,0.003306063,0.00210058,0.001526672,0.0008715631,0.0009212585,0.00004333928,0.0001270987,0.1803982],"genre_scores_gemma":[0.9952872,0.001597336,0.00248931,0.0001831594,0.000290263,0.00005009389,0.000007124714,0.000004333987,0.00009118031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7353818,"threshold_uncertainty_score":0.2304735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02937452187769408,"score_gpt":0.2876183619729054,"score_spread":0.2582438400952113,"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."}}