{"id":"W6998678932","doi":"","title":"Are Immigrants the Future of the Canadian Agricultural Workforce?","year":2022,"lang":"en","type":"other","venue":"The Atrium (University of Guelph)","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Immigration; Prosperity; Context (archaeology); Food security; Population; Human resources","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":[0.001796306,0.0002606291,0.0002522682,0.001494328,0.01595862,0.006072725,0.001374026,0.001897996,0.009810641],"category_scores_gemma":[0.004083212,0.0001947071,0.0003659441,0.002761479,0.003984003,0.003226491,0.002527903,0.002764619,0.0007155283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04080549,"about_ca_system_score_gemma":0.1059255,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9842871,"about_ca_topic_score_gemma":0.9911417,"domain_scores_codex":[0.9981182,0.0001251904,0.00003080206,0.0001166845,0.0004750913,0.001134071],"domain_scores_gemma":[0.9971582,0.0001485529,0.0002731844,0.00004771939,0.0008450467,0.001527302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001861671,0.0001425437,0.2826286,0.0005212391,0.00004842678,0.002240934,0.1979564,0.0002896985,0.000817628,0.0717449,0.2256048,0.2178187],"study_design_scores_gemma":[0.00001642918,0.00005490844,0.1783875,0.0008797952,0.0000337177,0.0006452705,0.4664297,0.0003065068,0.0001459641,0.003703285,0.3492734,0.0001235695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5307397,0.02129587,0.000319379,0.320939,0.001945693,0.0000740201,0.001435283,0.00003385627,0.1232172],"genre_scores_gemma":[0.9274006,0.02386273,0.0003819878,0.02439463,0.0003209903,0.00003728778,0.0005217954,0.00001947888,0.02306063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04080549,"threshold_uncertainty_score":0.2960659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097517781171252,"score_gpt":0.1706045535372065,"score_spread":0.159629375725494,"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."}}