{"id":"W3029726627","doi":"","title":"Who, How and How Much? Recruitment of Guatemalan Migrant Workers to Quebec","year":2017,"lang":"en","type":"article","venue":"Memorial University Research Repository (Memorial University)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Memorial University of Newfoundland; Université du Québec à Montréal","keywords":"Focus group; Intermediary; Qualitative research; Agriculture; Work (physics); Political science; Economic growth; Socioeconomics; Geography; Business; Sociology; Marketing; Engineering; Social science; Economics","routes":{"ca_aff":false,"ca_fund":true,"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":[0.00375482,0.0002738929,0.0002645068,0.0007987178,0.00923731,0.002959705,0.001396291,0.0007809254,0.004798602],"category_scores_gemma":[0.007364012,0.0002033942,0.0001807406,0.001528018,0.001841458,0.0008595687,0.002100413,0.000847064,0.0004485948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03266449,"about_ca_system_score_gemma":0.04633956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9662067,"about_ca_topic_score_gemma":0.9859155,"domain_scores_codex":[0.9972668,0.001142881,0.00005449197,0.0002339397,0.0002487805,0.001053194],"domain_scores_gemma":[0.9964624,0.0007341655,0.0003843476,0.0001070015,0.001072783,0.001239294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006335815,0.0002988523,0.4284849,0.000917301,0.00005574629,0.003722943,0.3465547,0.0004639532,0.006581395,0.005318536,0.04038909,0.166579],"study_design_scores_gemma":[0.00003571544,0.0002336508,0.3869496,0.001336563,0.00003843001,0.0003224285,0.4985047,0.0005358484,0.0009940243,0.0003854291,0.110576,0.00008767579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9452322,0.003210098,0.001026051,0.01921089,0.0001015166,0.0009484968,0.0009334382,0.00005749362,0.02927984],"genre_scores_gemma":[0.9721734,0.003015098,0.001498301,0.004277617,0.00003028772,0.0006874694,0.0004061913,0.00001910281,0.01789259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03379327,"threshold_uncertainty_score":0.2369986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06036670638079372,"score_gpt":0.261354447140022,"score_spread":0.2009877407592283,"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."}}