{"id":"W4403762898","doi":"10.3390/mti8110095","title":"Current State of Serious Games in Human Trafficking: Evaluation, Gaps, and Future Research Directions","year":2024,"lang":"en","type":"article","venue":"Multimodal Technologies and Interaction","topic":"Digital Games and Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"State (computer science); Current (fluid); Human trafficking; Political science; Psychology; Criminology; Computer science; Engineering; Electrical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0006883954,0.00006240264,0.00009333649,0.0003418867,0.0001021795,0.0001376161,0.00006626742,0.00006416227,0.00001105872],"category_scores_gemma":[0.0002479033,0.00005374593,0.00002086717,0.0004099364,0.0003017453,0.0003378569,0.00005129149,0.0003051178,0.000001210298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010637,"about_ca_system_score_gemma":0.0000489402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004511257,"about_ca_topic_score_gemma":0.002483133,"domain_scores_codex":[0.9991786,0.00006976442,0.0001516006,0.0001977932,0.0002355902,0.0001666761],"domain_scores_gemma":[0.9996652,0.00009058053,0.00002905815,0.00007224687,0.0001191157,0.00002378243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006193818,0.00003710941,0.0003615661,0.00003589054,0.000005433374,9.399786e-7,0.004742683,0.000004594738,0.000450643,0.001489738,0.0001678796,0.9926973],"study_design_scores_gemma":[0.0001445372,0.0001135363,0.01150012,0.0002544424,0.000007248425,0.000002002299,0.03069789,0.002280529,0.0008596911,0.003269813,0.9507774,0.00009279613],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753987,0.01634876,0.000004709695,0.001919302,0.0008040103,0.0003126587,0.000005882409,0.0002157303,0.004990272],"genre_scores_gemma":[0.9758936,0.02367344,0.00004101762,0.000001552005,0.00007598117,0.00004511203,0.000003886327,0.000005056352,0.000260328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9926046,"threshold_uncertainty_score":0.2191696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0622822137408706,"score_gpt":0.4311955965586237,"score_spread":0.3689133828177531,"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."}}