{"id":"W4206495524","doi":"10.7202/1084842ar","title":"Mental Health in 3D","year":2022,"lang":"en","type":"article","venue":"Loading","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental illness; Video game; Depiction; Mental health; Perspective (graphical); Representation (politics); Psychology; Multimedia; Computer science; Psychiatry; Visual arts; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009585853,0.0005509841,0.0002829806,0.001109852,0.0008311504,0.004260943,0.0008550627,0.001191823,0.03814299],"category_scores_gemma":[0.003607555,0.0002765165,0.001008109,0.0007879219,0.001525695,0.001281879,0.003895979,0.000855793,0.003384296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121833,"about_ca_system_score_gemma":0.001650687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01201751,"about_ca_topic_score_gemma":0.01586044,"domain_scores_codex":[0.9993439,0.0003136247,0.0000319305,0.0000627244,0.0001756194,0.00007220175],"domain_scores_gemma":[0.9994295,0.0002016128,0.00004886956,0.0000818351,0.0001155711,0.0001226086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004488152,0.0003534131,0.03167314,0.001309246,0.0001885914,0.00225174,0.02286623,0.009778762,0.003204032,0.2427381,0.1409048,0.5442832],"study_design_scores_gemma":[0.0001692533,0.0003097296,0.02942452,0.001806262,0.000175219,0.004248821,0.01556394,0.01421928,0.001715555,0.08685203,0.8453563,0.000159177],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1196484,0.01173044,0.1499446,0.02205581,0.003259054,0.0009361899,0.009693923,0.002499558,0.680232],"genre_scores_gemma":[0.8051518,0.009458918,0.09144034,0.004665886,0.0005750876,0.001343439,0.003387971,0.0004813425,0.08349519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03814299,"threshold_uncertainty_score":0.127601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157031735217257,"score_gpt":0.3387700894160282,"score_spread":0.3171997720638556,"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."}}