{"id":"W4390355762","doi":"10.1007/978-3-031-41100-7_3","title":"Empowering Police Trainers: Introducing the Constraints-Led Approach for the Design of Effective Learning Environments in Police Training","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Aurora College","funders":"","keywords":"Trainer; Training (meteorology); Police science; Empowerment; Software deployment; Engineering; Pedagogy; Public relations; Medical education; Psychology; Political science; Computer science; Criminal justice; Medicine; Criminology","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":[0.001789088,0.0003106416,0.000385902,0.0001974002,0.000152204,0.00002696392,0.0003795222,0.000258966,0.0002774654],"category_scores_gemma":[0.0001152392,0.0002099745,0.0001693974,0.00009056307,0.000396606,0.00003916444,0.00004477591,0.0006266776,0.00003318972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001127392,"about_ca_system_score_gemma":0.00006640226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006368469,"about_ca_topic_score_gemma":0.00003784287,"domain_scores_codex":[0.9981958,0.0001854584,0.0005074871,0.0005479463,0.000219089,0.0003442659],"domain_scores_gemma":[0.9953164,0.003777153,0.0003920472,0.0004382318,0.00003490912,0.00004118502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002740354,0.0001435603,0.00007102919,0.0001278785,0.001339192,7.238346e-7,0.3703382,0.02837272,0.001420416,0.3856593,0.001053156,0.2111998],"study_design_scores_gemma":[0.008024325,0.001609601,0.03260913,0.001112079,0.001588884,0.0001420631,0.7786445,0.02678409,0.000266356,0.01166102,0.1341224,0.003435466],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007940596,0.0004161465,0.3693961,0.001652634,0.001066664,0.007398855,0.00006552964,0.0001243135,0.6190857],"genre_scores_gemma":[0.4885125,0.000127209,0.004147178,0.0003901678,0.00121746,0.001725554,0.0001788545,0.0002446383,0.5034564],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4877185,"threshold_uncertainty_score":0.8562514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06183921003205815,"score_gpt":0.3336041491791846,"score_spread":0.2717649391471264,"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."}}