{"id":"W7017549839","doi":"","title":"A Better Place on Earth: Reducing Inequality in British Columbia","year":2015,"lang":"en","type":"other","venue":"Summit (Simon Fraser University)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inequality; Politics; Event (particle physics); Event data; Public policy; Government (linguistics); Policy making","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001303679,0.0001410287,0.0002356001,0.000261258,0.0000732875,0.0002424114,0.0007809542,0.0001560843,0.0002217287],"category_scores_gemma":[0.00001145801,0.0002635342,0.00006603255,0.001033552,0.0000439788,0.000148229,0.0002543427,0.0002920241,0.0001910996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001173512,"about_ca_system_score_gemma":0.0002122198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02424004,"about_ca_topic_score_gemma":0.7238427,"domain_scores_codex":[0.9986551,0.0001060346,0.0001380223,0.0005832067,0.0002970889,0.0002205048],"domain_scores_gemma":[0.9990258,0.00007416251,0.0001371858,0.0005639693,0.00006991853,0.000129024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002584504,0.0001127626,0.007358111,0.00001574352,0.00001921145,0.0001000757,0.00001218177,0.0002323748,2.319244e-7,0.001880878,0.9832743,0.00699154],"study_design_scores_gemma":[0.0004747875,0.00002926774,0.0009498558,0.0001551487,0.000007019581,1.15224e-8,0.0001076915,0.001316212,0.000001674234,0.00152252,0.9951299,0.0003058542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02187244,0.0001187402,0.02103375,0.0007828974,0.0006000983,0.0008659687,0.0005013553,0.0006964686,0.9535283],"genre_scores_gemma":[0.03418306,0.00003614073,0.00602211,0.0006833111,0.0003362978,0.00000488439,0.0002921914,0.0001632935,0.9582787],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6996027,"threshold_uncertainty_score":0.9999817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01622906621034871,"score_gpt":0.2199648942779218,"score_spread":0.2037358280675731,"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."}}