{"id":"W4385522228","doi":"10.1515/9780228002758-010","title":"The Blended Visa Office-Referred Program: Perspectives and Experiences from Rural Nova Scotia","year":2020,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova scotia; Nova (rocket); Political science; Engineering; Geography; Aeronautics; 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":[0.0005948608,0.0002365139,0.0002967123,0.0003643468,0.01658543,0.003208851,0.0009207312,0.001129204,0.007580713],"category_scores_gemma":[0.001241385,0.0002482015,0.0001288896,0.001039509,0.002742201,0.0007753408,0.003971343,0.001915204,0.0007043325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009956328,"about_ca_system_score_gemma":0.01874087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.769096,"about_ca_topic_score_gemma":0.9534159,"domain_scores_codex":[0.9992169,0.0002163074,0.000009813644,0.00003125743,0.00005888085,0.0004668655],"domain_scores_gemma":[0.9986732,0.0002984596,0.00007903649,0.00002273129,0.0001146634,0.0008119298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002580176,0.0003182077,0.02686916,0.0001951806,0.000008954979,0.008573189,0.9080839,0.0001019579,0.002898908,0.003348666,0.01821489,0.03112911],"study_design_scores_gemma":[0.00001189685,0.0001365886,0.03170144,0.0001132034,0.000006846653,0.0003833504,0.9325246,0.00005044476,0.0001397397,0.0001156385,0.03480456,0.00001159279],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633672,0.000734043,0.00007357573,0.005032148,0.00009537292,0.00006745516,0.000110008,0.000009953642,0.03051031],"genre_scores_gemma":[0.9202075,0.001237616,0.0001571196,0.002269872,0.00002057894,0.0000729751,0.00008993923,0.00002211954,0.07592225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.230904,"threshold_uncertainty_score":0.4645277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950364129571804,"score_gpt":0.2486956365352089,"score_spread":0.2291919952394909,"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."}}