{"id":"W4254306998","doi":"10.17504/protocols.io.uw6exhe","title":"CANINE HEALTH-RELATED QUALITY OF LIFE INDEX (CHQoLI) v1","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Health, psychology, and well-being","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Index (typography); Quality (philosophy); Business; Psychology; Computer science; Physics; World Wide Web","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":[0.001254695,0.0005257474,0.0007857131,0.001539092,0.0003233804,0.0008327537,0.0007502718,0.0005032711,0.07351453],"category_scores_gemma":[0.005594375,0.0002259952,0.0006414974,0.002118398,0.0002789869,0.0005518963,0.001188729,0.0008632886,0.0222577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007466087,"about_ca_system_score_gemma":0.0008689607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00457475,"about_ca_topic_score_gemma":0.006825206,"domain_scores_codex":[0.999301,0.0001261586,0.0000542631,0.000109943,0.0002991589,0.0001094675],"domain_scores_gemma":[0.9984639,0.0004335249,0.0001715756,0.00021676,0.000529717,0.0001847112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.005977093,0.001521121,0.1446218,0.001209679,0.0003730839,0.0001370159,0.0004763547,0.003520559,0.004329977,0.00414928,0.5963027,0.2373813],"study_design_scores_gemma":[0.00110737,0.001476379,0.5611261,0.0003576833,0.0001636516,0.0004057111,0.0003501445,0.009822372,0.005867094,0.005470742,0.4137177,0.0001351038],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.2256289,0.0007601224,0.01468311,0.001047796,0.0003200076,0.005685342,0.6603937,0.005805425,0.08567563],"genre_scores_gemma":[0.2657658,0.0005212844,0.02537625,0.0006038585,0.0001037357,0.00917973,0.6493934,0.002441738,0.04661423],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07351453,"threshold_uncertainty_score":0.2459306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1781260605291602,"score_gpt":0.516973305999562,"score_spread":0.3388472454704018,"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."}}