{"id":"W7098126734","doi":"","title":"Migration Propensities in Canada: from the Late 1970s to the Late 1990s *","year":2007,"lang":"en","type":"article","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Empirical research; Information economics; Information system","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":[0.001288362,0.0005688979,0.0005057824,0.009560059,0.006638175,0.002884334,0.001285907,0.0007327076,0.006316459],"category_scores_gemma":[0.003880261,0.0003523852,0.0005219307,0.01488385,0.001505678,0.0009693676,0.001882715,0.001714589,0.0005087764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07104805,"about_ca_system_score_gemma":0.09644017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9984931,"about_ca_topic_score_gemma":0.9993721,"domain_scores_codex":[0.9987451,0.00005119043,0.00005106249,0.0001036109,0.0003734478,0.0006755217],"domain_scores_gemma":[0.9949004,0.0002706044,0.0004896757,0.0000720525,0.003235862,0.001031331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006274608,0.0001622902,0.6319442,0.000983679,0.0002146655,0.0009859912,0.03837184,0.00180727,0.000592889,0.02717642,0.06913321,0.2280001],"study_design_scores_gemma":[0.00001781602,0.00002330018,0.9148851,0.0004887664,0.00003905836,0.00009980924,0.01276277,0.0004224353,0.0001480141,0.0005494699,0.07052096,0.00004247074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8554882,0.05192696,0.0006134752,0.01154183,0.000398269,0.0001147968,0.0186557,0.0001074384,0.06115333],"genre_scores_gemma":[0.9601372,0.01452185,0.0004909499,0.0007133735,0.0000889984,0.00003898984,0.004383686,0.00004589528,0.01957903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07104805,"threshold_uncertainty_score":0.5154921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151923950417902,"score_gpt":0.249071992341377,"score_spread":0.2338795972995868,"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."}}