{"id":"W2548009766","doi":"","title":"Beyond Borders: Examining the World in Canadian YA","year":2011,"lang":"en","type":"article","venue":"YA Hotline","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Beauty; Political science; Development economics; Law; Economics","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":[0.0007158337,0.0001015006,0.0002371769,0.0001461093,0.0005014234,0.000007374901,0.0002026643,0.0001167568,0.002208991],"category_scores_gemma":[0.00009617883,0.00007367288,0.00002370194,0.0003918459,0.0000549309,0.00006907686,0.0000424041,0.0004866179,0.0003007405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001390033,"about_ca_system_score_gemma":0.0004302041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7365279,"about_ca_topic_score_gemma":0.9973975,"domain_scores_codex":[0.9985994,0.0002384749,0.0002894779,0.000154651,0.0001028442,0.0006151262],"domain_scores_gemma":[0.9992551,0.0001996939,0.00006988956,0.0002324417,0.00005649007,0.0001864175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001581176,0.00003624603,0.8253622,0.00003964173,0.00001504931,0.00003565559,0.1486671,0.00000120967,0.000008602066,0.01872508,0.001787223,0.005306205],"study_design_scores_gemma":[0.0006460456,0.00003688358,0.674789,0.0001587869,0.00001430949,6.962574e-8,0.1323298,0.00007851722,0.00002411221,0.00374102,0.1879406,0.0002407886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7672369,0.0003161574,0.000005643248,0.0009819148,0.0005964542,0.0003074122,0.00001387261,0.00004972243,0.2304919],"genre_scores_gemma":[0.991975,0.0000341654,0.00009689839,0.0009877555,0.000355091,0.00007596923,0.00001212896,0.00002697159,0.006435987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2608696,"threshold_uncertainty_score":0.9987031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117665208985077,"score_gpt":0.4140161022233375,"score_spread":0.3022495813248298,"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."}}