{"id":"W4404196543","doi":"10.1002/cpp.70004","title":"Exploring Unique Patterns of Self‐Injury Recovery: A Latent Profile Analysis","year":2024,"lang":"en","type":"article","venue":"Clinical Psychology & Psychotherapy","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Psychology; Latent class model; Cognitive psychology; Clinical psychology; Developmental psychology; Computer science; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001724924,0.0004660006,0.001266223,0.0008000162,0.00009125871,0.0000379337,0.0006089267,0.0004917581,0.006321971],"category_scores_gemma":[0.0000261761,0.0004024875,0.001344551,0.001594447,0.0002358119,0.0001847672,0.00002873271,0.0008915571,0.0009604474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003139859,"about_ca_system_score_gemma":0.00004781002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008855451,"about_ca_topic_score_gemma":0.00005204537,"domain_scores_codex":[0.9948536,0.0008586113,0.001781182,0.001533916,0.0002680802,0.0007046424],"domain_scores_gemma":[0.9968698,0.001020662,0.0003093596,0.001462142,0.0001282758,0.0002097766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003958644,0.004295122,0.6852052,0.0001244662,0.03699947,0.0002668852,0.007917081,0.000005588122,0.0007392687,0.009253156,0.07048741,0.1807477],"study_design_scores_gemma":[0.002848526,0.003416842,0.8771101,0.00008034033,0.001647083,0.00002676561,0.0004427499,0.00005440025,0.0001428933,0.00712521,0.1061799,0.0009251365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653941,0.00432018,0.005208813,0.003297622,0.009272613,0.0006386767,0.000144663,0.0006620107,0.01106131],"genre_scores_gemma":[0.9572236,0.02926816,0.001472123,0.006496311,0.001182833,0.0007070685,0.00005369345,0.000168326,0.003427887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.191905,"threshold_uncertainty_score":0.9998427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2475296830610526,"score_gpt":0.4791009519312208,"score_spread":0.2315712688701683,"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."}}