{"id":"W6887795051","doi":"10.17605/osf.io/t2evg","title":"Support for low-skilled immigration in Canada","year":2023,"lang":"en","type":"other","venue":"Open Science Framework","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Immigration policy; Scope (computer science); Perception; Public policy; Government (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002048074,0.0003402806,0.0005535716,0.0006512988,0.000185743,0.0005254314,0.004512688,0.0002938495,0.003636413],"category_scores_gemma":[0.002116516,0.0003276338,0.00005107622,0.004005643,0.0003075571,0.0004094813,0.0006488335,0.0004287064,0.002978458],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002500823,"about_ca_system_score_gemma":0.01644858,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9709963,"about_ca_topic_score_gemma":0.9986787,"domain_scores_codex":[0.9962467,0.00004210497,0.0004146688,0.001157475,0.001185958,0.00095312],"domain_scores_gemma":[0.9977102,0.0002880133,0.0004014604,0.001252413,0.0001080604,0.0002398871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002137854,0.00002635568,0.002081977,0.00002215795,0.000009244561,0.00002485341,0.0001616277,0.00005317225,0.00005943081,0.002647468,0.9924349,0.002457386],"study_design_scores_gemma":[0.0005605575,0.00005537487,0.003641568,0.001790542,0.00001925897,0.000002695779,0.0007285375,0.0008060265,0.00020759,0.002121494,0.9890733,0.000993004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001317118,0.00008555621,0.00128432,0.001101565,0.008804683,0.01097421,0.00210598,0.0006496791,0.9736769],"genre_scores_gemma":[0.01490564,0.00003484661,0.01973592,0.0007562782,0.0004296947,0.001335444,0.0001265384,0.002837291,0.9598383],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0276824,"threshold_uncertainty_score":0.9999176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814492387429095,"score_gpt":0.328011876572603,"score_spread":0.309866952698312,"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."}}