{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002088308,0.0006547513,0.0006310014,0.001421513,0.002378704,0.004487901,0.001563227,0.001047989,0.01784319],"category_scores_gemma":[0.007655348,0.0003710449,0.00144343,0.002947544,0.00220922,0.001985165,0.002517558,0.001615696,0.0007751188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02057865,"about_ca_system_score_gemma":0.03226364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.912603,"about_ca_topic_score_gemma":0.9508286,"domain_scores_codex":[0.9986009,0.0004350081,0.00003375084,0.0001351614,0.0002529793,0.0005421141],"domain_scores_gemma":[0.997678,0.0008429415,0.0002040876,0.0001794842,0.0006115727,0.0004840135],"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":[0.0001577731,0.0002214225,0.1202918,0.0002895542,0.0003433955,0.0003078351,0.009338157,0.03507479,0.0002331443,0.6759178,0.08616999,0.07165432],"study_design_scores_gemma":[0.0002003858,0.0002701489,0.327747,0.001674399,0.0009551948,0.0003319708,0.05546046,0.1434699,0.0002883011,0.3372624,0.1321042,0.0002358027],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5986383,0.007792903,0.04241772,0.03474467,0.0005327425,0.0007017778,0.005569194,0.000349557,0.3092532],"genre_scores_gemma":[0.9474136,0.002654368,0.007318736,0.0009765283,0.00006981065,0.0003000608,0.001022808,0.00009943978,0.04014474],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.912603,"threshold_uncertainty_score":0.1758235,"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."}}