{"id":"W4309364028","doi":"10.46747/cfp.6811796","title":"Water for weight loss","year":2022,"lang":"en","type":"letter","venue":"Canadian Family Physician","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overweight; Weight loss; Body weight; Medicine; Data science; Computer science; Gerontology; Obesity; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001621893,0.0007367865,0.000746486,0.0007344329,0.00592972,0.001822176,0.00094787,0.01074144,0.03314158],"category_scores_gemma":[0.01143568,0.0003579884,0.0008788995,0.0003806206,0.001666253,0.001765383,0.002150677,0.01841298,0.01730935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004533639,"about_ca_system_score_gemma":0.009137058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08167804,"about_ca_topic_score_gemma":0.2113772,"domain_scores_codex":[0.9980446,0.0002546108,0.0001159613,0.0002308572,0.0009733691,0.000380539],"domain_scores_gemma":[0.9945697,0.0008382926,0.0002494997,0.0001586474,0.002102162,0.002081777],"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":[0.00001486269,0.00001863377,0.0001903654,0.00001616167,0.000003011072,0.0001799602,0.0000367422,0.000003919608,0.00005244448,0.0003875036,0.9913341,0.007762258],"study_design_scores_gemma":[0.00004619048,0.00003650238,0.0008060221,0.0001648433,0.000008310565,0.0003606066,0.000170528,0.00002170381,0.0000285577,0.0007094314,0.99763,0.00001736508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002655268,0.004074161,0.00008804654,0.932786,0.05131074,0.00002619624,0.00006217143,0.0000443841,0.01134271],"genre_scores_gemma":[0.002341493,0.002317871,0.000286219,0.9144211,0.02486893,0.00004262371,0.00004783633,0.00003685856,0.0556371],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08167804,"threshold_uncertainty_score":0.1624053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02993783582652099,"score_gpt":0.2537579567950393,"score_spread":0.2238201209685183,"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."}}