{"id":"W4391582346","doi":"10.1137/1.9781611977820","title":"A Ramble Through Probability: How I Learned to Stop Worrying and Love Measure Theory","year":2024,"lang":"en","type":"book","venue":"Society for Industrial and Applied Mathematics eBooks","topic":"Optimism, Hope, and Well-being","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Measure (data warehouse); Psychology; Computer science; Data mining","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001482602,0.0006775782,0.001033595,0.00005449558,0.0002581317,0.0003588548,0.0002564042,0.00160286,0.00006276531],"category_scores_gemma":[0.00006537525,0.0005884796,0.0005246733,0.00006586662,0.0003313038,0.00003702935,0.0002680143,0.001286427,0.00006581445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001548346,"about_ca_system_score_gemma":0.0002951355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003025282,"about_ca_topic_score_gemma":0.000001873086,"domain_scores_codex":[0.9974606,0.00003340788,0.0005354197,0.0009938034,0.0003414717,0.00063531],"domain_scores_gemma":[0.9981779,0.0007305586,0.0002778264,0.0005369179,0.00007572478,0.0002010412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002185909,0.00006803244,1.720051e-7,0.001400705,0.001125644,0.000003005993,0.07446568,0.00000229608,0.0001142336,0.7690025,0.1084026,0.04519656],"study_design_scores_gemma":[0.001799377,0.0001762201,4.078986e-8,0.0006787654,0.0008666848,0.00001310597,0.01078151,0.00001916839,0.000115149,0.810716,0.1741421,0.0006919639],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001378889,0.0006815171,0.005598499,0.0007607734,0.0008905501,0.005841396,0.0001664027,0.0002358357,0.9844461],"genre_scores_gemma":[0.001240475,0.00002872191,0.01789746,0.000601839,0.002037838,0.0005664494,0.00004758053,0.0002830419,0.9772966],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06573948,"threshold_uncertainty_score":0.9996933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09642594926255513,"score_gpt":0.2990875398962405,"score_spread":0.2026615906336854,"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."}}