{"id":"W7058535760","doi":"","title":"Migrant Worker Health Care in Windsor-Essex County","year":2024,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Obligation; Work (physics); Migrant workers; Agriculture; Context (archaeology)","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":[0.0008064278,0.0001478368,0.0001657476,0.0003851638,0.005041523,0.001568975,0.000779323,0.0006001458,0.003522829],"category_scores_gemma":[0.001614516,0.0001769298,0.0001697023,0.0008239293,0.0009509402,0.0005940078,0.00198259,0.0008445088,0.0001712311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01548837,"about_ca_system_score_gemma":0.04080047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.907213,"about_ca_topic_score_gemma":0.9748996,"domain_scores_codex":[0.9989077,0.0002828302,0.00007775872,0.00009686675,0.0001619854,0.0004728918],"domain_scores_gemma":[0.9980135,0.0001923009,0.0002941397,0.00005546046,0.0002901952,0.001154404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002441239,0.0002689458,0.7927032,0.001072076,0.0001216128,0.01487063,0.07969245,0.0004376893,0.002098788,0.003979537,0.02818613,0.07632483],"study_design_scores_gemma":[0.00002590726,0.0002576913,0.7515858,0.001230013,0.00003134833,0.002410447,0.187639,0.0002430159,0.0002592941,0.0003347682,0.05594346,0.00003928265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773937,0.002772345,0.0001477206,0.008015307,0.00009369484,0.0001357924,0.0008347009,0.00001465698,0.01059201],"genre_scores_gemma":[0.9889358,0.002971772,0.000710849,0.002200084,0.00003265747,0.00009566171,0.000390232,0.000006576278,0.004656385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09278697,"threshold_uncertainty_score":0.1866668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310383345582185,"score_gpt":0.2534308106787273,"score_spread":0.2403269772229054,"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."}}