{"id":"W3003067123","doi":"10.2196/17112","title":"Effect of Pokémon Go on Self-Harm Using Population-Based Interrupted Time-Series Analysis: Quasi-Experimental Study","year":2020,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Digital Games and Media","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poisson regression; Incidence (geometry); Rate ratio; Interrupted time series; Demography; Population; Medicine; Poison control; Injury prevention; Psychological intervention; Environmental health; Psychiatry; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002698279,0.0001911084,0.0004745495,0.0001359671,0.00008731481,0.00009727436,0.0002192991,0.0000678892,0.0001356892],"category_scores_gemma":[0.0001149186,0.0001672743,0.0001918043,0.0007856173,0.00007599354,0.0002112716,0.00004202322,0.00008816203,0.00002932842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001175244,"about_ca_system_score_gemma":0.00007078264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006728498,"about_ca_topic_score_gemma":0.0002527628,"domain_scores_codex":[0.9983468,0.0003200811,0.0002938338,0.0003112673,0.0004728615,0.0002551355],"domain_scores_gemma":[0.9992987,0.0001240652,0.000176156,0.0001755618,0.0000446567,0.0001808514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00431526,0.01174865,0.602743,0.0003416826,0.003445736,0.0001200667,0.2812291,0.00293754,0.00888892,0.0003336817,0.0007541476,0.08314218],"study_design_scores_gemma":[0.01911752,0.194349,0.3558503,0.0008566807,0.007237673,0.000004006271,0.1700683,0.04660511,0.1068604,0.00004482171,0.09319989,0.00580634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937471,0.00007194049,0.000005720873,0.0001523255,0.0001289423,0.0008808821,0.00001282138,0.0001812651,0.004819004],"genre_scores_gemma":[0.9991212,0.000002095877,0.00008913007,0.0001338882,0.000114063,0.00004210776,0.00002327984,0.00001940576,0.0004548652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2468927,"threshold_uncertainty_score":0.6821249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555507156427734,"score_gpt":0.3374791613563832,"score_spread":0.3219240897921059,"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."}}