{"id":"W6983446901","doi":"","title":"Migration and Canadian Interprovincial Trade","year":2022,"lang":"en","type":"other","venue":"RePEc: Research Papers in Economics","topic":"Garlic and Onion Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Immigration; Panel data; Estimation; Border effect; Trade agreement","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002766676,0.00010733,0.0001696885,0.00007806842,0.0001678688,0.00004119258,0.0001667835,0.0001309185,0.003853671],"category_scores_gemma":[0.00004642599,0.0000519693,0.00003665645,0.00007958281,0.0001082894,0.0000187011,0.00011315,0.0003045269,0.000006737157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002498855,"about_ca_system_score_gemma":0.0000611935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1185616,"about_ca_topic_score_gemma":0.9347863,"domain_scores_codex":[0.999074,0.00008330536,0.0001238465,0.0003071018,0.00009003389,0.0003216605],"domain_scores_gemma":[0.9996814,0.00009523944,0.00003807475,0.00005246371,0.00000472679,0.0001281676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001288636,0.00002635133,0.02543308,0.00001112256,0.00002598754,0.00001517616,0.0001728642,0.000001067497,0.00007461249,0.0001454802,0.04799095,0.9260904],"study_design_scores_gemma":[0.00005031236,0.00006616422,0.03076484,0.00001106413,0.000001248621,0.00000249751,0.0008423005,0.00002419618,0.000001013922,0.00002707121,0.9681022,0.0001071592],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07491381,0.0003423961,4.28938e-9,0.002119796,0.0001363292,0.0002878696,0.000176356,0.0000263395,0.9219971],"genre_scores_gemma":[0.361811,0.02000308,0.00003526112,0.0006605664,0.001069504,0.000213975,0.0003249995,0.00003010302,0.6158515],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9259833,"threshold_uncertainty_score":0.997057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0218777916438514,"score_gpt":0.2545852289965944,"score_spread":0.232707437352743,"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."}}