{"id":"W2952637597","doi":"","title":"Invisible work: Valuing emotional labour in family medicine.","year":2019,"lang":"en","type":"article","venue":"PubMed","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Schedule; Work (physics); Medicine; Computer science","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":[0.004078214,0.0004205179,0.0004674278,0.0006062591,0.01178407,0.005420659,0.0009939068,0.003451491,0.0162355],"category_scores_gemma":[0.01330851,0.0003189785,0.0004967449,0.0007207171,0.01051745,0.006538299,0.008588169,0.006570484,0.002239749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002511217,"about_ca_system_score_gemma":0.00453538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004230346,"about_ca_topic_score_gemma":0.009299603,"domain_scores_codex":[0.9956459,0.0030555,0.00006483636,0.0001256395,0.0004223574,0.0006857974],"domain_scores_gemma":[0.9939578,0.001627695,0.0006130873,0.0001821353,0.0004092272,0.003210071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001197256,0.0002078683,0.008251932,0.0005476721,0.00006710465,0.005362217,0.4456046,0.00008428231,0.0005032019,0.01995637,0.3750652,0.1442299],"study_design_scores_gemma":[0.0000488593,0.0001382034,0.007233289,0.001990547,0.00002649381,0.006186037,0.551427,0.0000929735,0.0001296249,0.01773675,0.4148898,0.000100335],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1298148,0.04677868,0.003780046,0.5622481,0.01513634,0.0001519112,0.0002117937,0.0002810789,0.2415973],"genre_scores_gemma":[0.8374757,0.02509606,0.002964091,0.09555852,0.002840362,0.0002481088,0.0001048839,0.0001875242,0.03552461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0162355,"threshold_uncertainty_score":0.05431318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5402209057749571,"score_gpt":0.5166595534903273,"score_spread":0.02356135228462974,"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."}}