{"id":"W4320024826","doi":"10.3138/9781487548742","title":"Multiple Barriers","year":2022,"lang":"en","type":"book","venue":"University of Toronto Press eBooks","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Wilfrid Laurier University; ECW Press (Canada); Université de Montréal; University of Alberta; York University; University of Toronto; Carleton University; University of Waterloo; Western University","funders":"Australian Government; Queen's University; University of Cambridge; McGill University","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000212879,0.0002215954,0.0007281817,0.00002201676,0.001181547,0.000003304992,0.0006019179,0.0005044171,0.01280816],"category_scores_gemma":[0.00003436641,0.0002795784,0.0002196273,0.000001308917,0.0001722037,0.00007406802,0.0006553421,0.0006586953,0.00001878442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270149,"about_ca_system_score_gemma":0.0009903294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3126498,"about_ca_topic_score_gemma":0.2670843,"domain_scores_codex":[0.9983779,0.0003537335,0.0002477316,0.0003165914,0.0003551336,0.0003489064],"domain_scores_gemma":[0.9984824,0.0002894015,0.000435086,0.0004280886,0.0001512217,0.0002137813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006713551,0.00005510464,0.001458086,0.002273165,0.0008520035,0.0001692116,0.7402841,0.000009125863,0.00002482125,0.08293366,0.1570618,0.0142076],"study_design_scores_gemma":[0.0006831277,0.00004454983,0.0000797916,0.0001400157,0.0001077142,2.568443e-8,0.02702003,0.000009965392,0.000002329292,0.0001457967,0.9715254,0.0002412281],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002988462,0.00164766,0.00001765259,0.00000499222,0.0006722659,0.0006694046,0.0004851682,0.000108443,0.9960955],"genre_scores_gemma":[0.00504627,0.0004712697,0.00008026731,0.00002110133,0.0001851884,0.000003136162,0.00009397155,0.00004218542,0.9940566],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8144637,"threshold_uncertainty_score":0.9999657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03772276458833802,"score_gpt":0.3057872381911443,"score_spread":0.2680644736028063,"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."}}