{"id":"W4391310854","doi":"10.26443/law.v68i1.1181","title":"No Country for Old Men","year":2023,"lang":"en","type":"article","venue":"McGill Law Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Political science; Business; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007955865,0.00004469054,0.00006705678,0.00002962829,0.003164363,0.00008841707,0.0001326171,0.00005300133,0.0003942905],"category_scores_gemma":[0.0001221303,0.00003928767,0.00004902823,0.0001832332,0.00005537076,0.0001416565,0.00001027227,0.00009627291,0.0001941346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006606968,"about_ca_system_score_gemma":0.0000158591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007635037,"about_ca_topic_score_gemma":0.05203644,"domain_scores_codex":[0.9992921,0.00004966239,0.0001250621,0.00006754607,0.0002408393,0.000224816],"domain_scores_gemma":[0.999543,0.00007182547,0.00005789218,0.00005023387,0.0001617049,0.000115402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000832459,0.000009227074,0.00006457299,0.000002938928,0.00001018178,0.000004292654,0.0006967899,0.00003963764,0.00002809684,0.9595777,0.03865636,0.000901888],"study_design_scores_gemma":[0.0001925238,0.00001762418,0.00005860506,0.000006025344,0.000005368419,0.000002149477,0.00113414,0.001261333,0.000007804556,0.002331739,0.9949247,0.00005800613],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003724015,0.00001472034,0.0001148064,0.003042056,0.001048835,0.0001522579,0.0001142633,0.0001155231,0.9916735],"genre_scores_gemma":[0.8179828,0.001459629,0.001593281,0.003859597,0.003241631,0.00003222394,0.00004941898,0.00004821306,0.1717332],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9572459,"threshold_uncertainty_score":0.9981334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349347345522424,"score_gpt":0.3100334944892338,"score_spread":0.2865400210340096,"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."}}