{"id":"W4307246737","doi":"10.1093/eurpub/ckac129.375","title":"Health protection policies for digital platform and low wage workers","year":2022,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wage; Context (archaeology); Pandemic; Minimum wage; Business; Occupational safety and health; Work (physics); Public relations; Political science; Labour economics; Coronavirus disease 2019 (COVID-19); Economics; Medicine; Law; Engineering; Geography","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":[0.003282379,0.0001184174,0.0001034385,0.001068953,0.002691333,0.003589553,0.0007339361,0.001382806,0.008872927],"category_scores_gemma":[0.007711857,0.0001010864,0.0001767143,0.0006853137,0.004304439,0.001908724,0.005189331,0.001423991,0.000468175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003549924,"about_ca_system_score_gemma":0.005696665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01257473,"about_ca_topic_score_gemma":0.0120991,"domain_scores_codex":[0.9976635,0.0009029462,0.0001119192,0.0001883319,0.0004255903,0.000707739],"domain_scores_gemma":[0.9942809,0.002831859,0.001040503,0.0003750108,0.0005822129,0.0008894436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002698366,0.0004224488,0.1789308,0.0008697673,0.00002964182,0.001586095,0.09325479,0.00175782,0.004043232,0.56987,0.02342116,0.1255443],"study_design_scores_gemma":[0.00007475987,0.0004812329,0.3296002,0.004449198,0.00003889763,0.0006830889,0.1904203,0.002524079,0.002789752,0.0843119,0.3845239,0.0001026481],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8012182,0.002500423,0.003120039,0.05240698,0.0003151393,0.0001228704,0.0004767364,0.00003296745,0.1398066],"genre_scores_gemma":[0.9890785,0.0005583303,0.000587712,0.002723906,0.00009103739,0.00005848733,0.00008753943,0.000004983689,0.006809463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01257473,"threshold_uncertainty_score":0.02968287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1616227808453286,"score_gpt":0.3963955770653636,"score_spread":0.234772796220035,"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."}}