{"id":"W6888969949","doi":"10.25318/4310003801-eng","title":"Immigrant income by years since landing, Alberta, inactive","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Population; Ethnic group; Unemployment","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":[],"category_scores_codex":[0.0002191142,0.0005552808,0.0005933715,0.0002713657,0.0001277188,0.0001211624,0.0005781125,0.0002990426,0.0003880223],"category_scores_gemma":[0.001066249,0.0006463086,0.0000379728,0.0004329055,0.0000887686,0.0001417024,0.000110968,0.0006135938,0.0007881124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002910592,"about_ca_system_score_gemma":0.001090681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9080511,"about_ca_topic_score_gemma":0.9832199,"domain_scores_codex":[0.9966387,0.000141157,0.000554914,0.0006840763,0.001395343,0.00058581],"domain_scores_gemma":[0.99672,0.001206101,0.0008088835,0.0007376873,0.0002978853,0.000229399],"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":[0.00004009926,0.00005667858,0.00006089296,0.0002116777,0.00009956904,0.00009815162,0.00006438003,0.000005363304,0.0001280036,0.0001789631,0.9987868,0.0002694127],"study_design_scores_gemma":[0.0002931168,0.00006646776,0.007733225,0.0002859642,0.0002196882,0.000009547171,0.0001535186,0.00008691564,0.00009609735,0.00005162684,0.9901878,0.0008160529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002149684,0.0001067177,0.0002205337,0.00003097634,0.0009674325,0.0005578365,0.9978227,0.00001864289,0.00006019022],"genre_scores_gemma":[0.003351351,0.00005159579,0.0001520808,0.00005951441,0.00007528062,0.00005549407,0.9932073,0.0001338112,0.002913591],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07516879,"threshold_uncertainty_score":0.9999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004436746125489076,"score_gpt":0.2564352512346909,"score_spread":0.2519985051092019,"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."}}