{"id":"W4206133410","doi":"10.22215/etd/2020-14052","title":"A Multi-Wave Longitudinal Examination of how Strengths and Risks Inform Risk Assessment and Treatment Profiles For Justice-Involved Men and Women using The Service Planning Instrument (SPIn)","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Intimate Partner and Family Violence","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Overtime; Risk assessment; Psychology; Latent growth modeling; Longitudinal study; Medicine; Demography; Gerontology; Developmental psychology; Political science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.004367517,0.0002133112,0.0002761332,0.000812674,0.0008661295,0.0007907969,0.0004936245,0.0003351724,0.001262542],"category_scores_gemma":[0.009844268,0.0003604486,0.0004975174,0.0009621304,0.0003685917,0.001459386,0.0008633878,0.0009037842,0.0001988577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007252984,"about_ca_system_score_gemma":0.0009944628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02547725,"about_ca_topic_score_gemma":0.06351042,"domain_scores_codex":[0.9991056,0.0004006126,0.00004908639,0.0001283072,0.000135342,0.0001810266],"domain_scores_gemma":[0.9965635,0.0007892375,0.001543207,0.0003632844,0.0004243471,0.0003164759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002415534,0.00005140102,0.9960389,0.000002979646,0.00001745769,0.00001489385,0.00100395,0.00002362683,0.00007112016,0.00004936489,0.00009532598,0.002606808],"study_design_scores_gemma":[0.000002517915,0.0001176016,0.9971442,0.00000749937,0.000009365705,0.00003402637,0.002065607,0.0002757917,0.00005561052,0.00007340288,0.0002087145,0.000005712074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991571,0.00003545669,0.000320782,0.00008553384,0.000003400665,0.00002070069,0.0001807544,0.000002592409,0.0001936382],"genre_scores_gemma":[0.998841,0.00004049549,0.0004653619,0.00003252784,0.000002560607,0.00003396687,0.0002772915,0.000001769962,0.0003050899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02547725,"threshold_uncertainty_score":0.05065793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1393047917322733,"score_gpt":0.4211998766964166,"score_spread":0.2818950849641433,"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."}}