{"id":"W7053645401","doi":"","title":"Youth Out of Place Program: Identifying Homeless Youths in Toronto using GIS Applications","year":2015,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service (business); Service provider; Youth engagement; Public access; Poverty; Location; Geographic information system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003684474,0.0004586975,0.0002006568,0.003270872,0.00159705,0.00142495,0.0007993981,0.0003182592,0.005058637],"category_scores_gemma":[0.00182005,0.000280118,0.0003325751,0.004056277,0.0003706895,0.0006122543,0.00192843,0.0003415426,0.0008675676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006017292,"about_ca_system_score_gemma":0.007333282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8952163,"about_ca_topic_score_gemma":0.9583427,"domain_scores_codex":[0.9997208,0.00004195113,0.00002379985,0.00003757449,0.0001054182,0.00007043686],"domain_scores_gemma":[0.9992427,0.00009406282,0.0001275922,0.00003862399,0.000289456,0.0002075846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001656901,0.000165357,0.7659449,0.0008908698,0.00007640406,0.001357509,0.0549835,0.001526082,0.00231288,0.002086962,0.07541156,0.09507833],"study_design_scores_gemma":[0.00001771741,0.00007121212,0.8407806,0.0004480999,0.0000698534,0.0002967906,0.106002,0.005385446,0.0009503551,0.0004639731,0.04545289,0.00006113407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8768288,0.0006984507,0.003749032,0.001217559,0.00004888773,0.0009836369,0.0770502,0.0008867173,0.03853668],"genre_scores_gemma":[0.9326326,0.001452016,0.02474796,0.000152749,0.00002191594,0.0007918728,0.02976648,0.00008868123,0.01034566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1047837,"threshold_uncertainty_score":0.2108014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577075301521215,"score_gpt":0.2029445276879433,"score_spread":0.1771737746727312,"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."}}