{"id":"W6995824074","doi":"","title":"Petro-Canada to support Caregivers in Canada through the Petro-Canada CareMakers Foundation™","year":2020,"lang":"en","type":"other","venue":"","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); MEDLINE; Data collection; Qualitative research; Perspective (graphical)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009377903,0.0004206586,0.0002354964,0.001108953,0.01116227,0.0051374,0.001222508,0.001627544,0.0728743],"category_scores_gemma":[0.003469241,0.0002771193,0.0004923567,0.001723979,0.001490787,0.00130475,0.004176154,0.002599093,0.004168019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04912599,"about_ca_system_score_gemma":0.2771908,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9919791,"about_ca_topic_score_gemma":0.9980673,"domain_scores_codex":[0.9987718,0.0001177443,0.00001785672,0.00005881939,0.0003137565,0.000719961],"domain_scores_gemma":[0.9951463,0.0001614127,0.0001095923,0.00005128273,0.001273619,0.003257731],"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":[0.00007110172,0.0001488226,0.01573496,0.0002264168,0.00002151705,0.0004375906,0.00438288,0.0001853423,0.0001762067,0.02378719,0.8237413,0.1310866],"study_design_scores_gemma":[0.00003659394,0.00002274203,0.02705544,0.000702021,0.00002575801,0.0001835415,0.02046274,0.0002223655,0.0001768387,0.001991035,0.9490843,0.00003660833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08884083,0.01896483,0.00075657,0.2101946,0.004418375,0.0004659232,0.007820853,0.0003130189,0.668225],"genre_scores_gemma":[0.2242769,0.01519435,0.001910743,0.01545182,0.0002215173,0.0002326219,0.001435155,0.0001631694,0.7411138],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0728743,"threshold_uncertainty_score":0.3564357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074893744169018,"score_gpt":0.2409568490006801,"score_spread":0.2302079115589899,"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."}}