{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006012443,0.0002512637,0.0002370745,0.0007992043,0.01495442,0.004572408,0.001145009,0.001426298,0.02615897],"category_scores_gemma":[0.002656097,0.0001406927,0.0001433773,0.001558539,0.001981183,0.00121215,0.00359242,0.002538299,0.001590963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02279803,"about_ca_system_score_gemma":0.03950462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9485689,"about_ca_topic_score_gemma":0.9844062,"domain_scores_codex":[0.9990425,0.0001045919,0.0000124098,0.00005684066,0.0002908634,0.0004928755],"domain_scores_gemma":[0.9989687,0.00009758079,0.00002242783,0.00004122353,0.0003194615,0.0005506208],"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":[0.00006660416,0.00006624511,0.005091527,0.0001691494,0.00001829902,0.0003359236,0.004530532,0.0009389584,0.0005504237,0.07430099,0.7389529,0.1749785],"study_design_scores_gemma":[0.00002778391,0.00002453166,0.01964176,0.0002548444,0.00001875344,0.00007935231,0.01281179,0.0008902352,0.0006291323,0.02137803,0.944187,0.00005670643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08864217,0.007124119,0.001778737,0.1381243,0.001945935,0.0001163896,0.0009282171,0.0003178152,0.7610223],"genre_scores_gemma":[0.46141,0.005778606,0.001674422,0.02127796,0.0002124161,0.0001019605,0.0006292449,0.0002055378,0.5087097],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05143112,"threshold_uncertainty_score":0.165412,"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."}}