{"id":"W1500252554","doi":"","title":"What happens over time: Researching homelessness longitudinally","year":2007,"lang":"en","type":"article","venue":"Canadian journal of urban research","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Political science; Sociology; Criminology; Socioeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009847652,0.000311943,0.000799144,0.003220921,0.005582318,0.004588963,0.001484551,0.001908016,0.00224215],"category_scores_gemma":[0.02953392,0.0006496573,0.0009967934,0.004540968,0.001890916,0.01053327,0.003635429,0.002747192,0.0006937225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003596834,"about_ca_system_score_gemma":0.005618486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08499439,"about_ca_topic_score_gemma":0.1896253,"domain_scores_codex":[0.9967268,0.001451776,0.0003410621,0.0003539618,0.0004499174,0.0006765664],"domain_scores_gemma":[0.9833531,0.004904675,0.004992029,0.001350535,0.003244335,0.002155372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001152347,0.0004907608,0.9512609,0.0001197912,0.0001230792,0.0001282545,0.03060813,0.00005632944,0.0001891521,0.0006172143,0.001198,0.01509312],"study_design_scores_gemma":[0.00001341762,0.0004222195,0.9103915,0.0003662068,0.0001723314,0.0002079616,0.08222304,0.0001762984,0.0002760088,0.001140118,0.004547252,0.00006349436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989163,0.00273889,0.0004944314,0.003001821,0.000113545,0.0001212618,0.00103736,0.00001406379,0.003315618],"genre_scores_gemma":[0.9935523,0.001955299,0.0008439465,0.0006264322,0.00006709439,0.0003485643,0.0009076659,0.00001395609,0.001684763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08499439,"threshold_uncertainty_score":0.1689993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1421448521957835,"score_gpt":0.490222488265726,"score_spread":0.3480776360699425,"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."}}