{"id":"W2477393090","doi":"10.1002/9781119162124.ch6","title":"Who Cares? Measuring Environmental Attitudes","year":2016,"lang":"en","type":"other","venue":"","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Scale (ratio); Reliability (semiconductor); Measure (data warehouse); Environmental psychology; Psychology; Field (mathematics); Curse of dimensionality; Applied psychology; Data science; Social psychology; Computer science; Geography; Mathematics; Data mining; Artificial intelligence; Cartography","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001195286,0.000316866,0.0002331982,0.00004940736,0.00007840743,0.00002267239,0.0003322947,0.0002050261,0.5073754],"category_scores_gemma":[0.00001179113,0.0002425452,0.000104626,0.00003726247,0.0004562562,0.0000849104,0.0003417329,0.0001336313,0.01994986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000873669,"about_ca_system_score_gemma":0.00001073841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004414535,"about_ca_topic_score_gemma":0.000327898,"domain_scores_codex":[0.9983383,0.00006146302,0.0001882836,0.000597928,0.0004539351,0.000360089],"domain_scores_gemma":[0.9991051,0.00001825886,0.0001012336,0.0005798141,4.51867e-7,0.0001951735],"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":[0.000003280053,0.000145682,0.1333788,0.00002189612,0.00001895837,0.000004803027,0.00008653857,0.000001678896,0.0003818969,0.00007375877,0.8596942,0.006188424],"study_design_scores_gemma":[0.0001676103,0.00001451621,0.04063271,0.00002783607,0.0000109072,0.000002849233,0.0001149689,0.00000142986,0.0002552066,0.00005658573,0.9583479,0.0003674684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001960392,0.0001631663,0.00007985161,0.0001625288,0.0002640926,0.0003790788,0.00002555047,0.0001645351,0.9968008],"genre_scores_gemma":[0.04347191,0.0001948253,0.0002443671,0.0002983025,0.0001254147,0.00004254435,0.00001578795,0.0002677217,0.9553391],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4874255,"threshold_uncertainty_score":0.9890706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008956907814446767,"score_gpt":0.2389498212756074,"score_spread":0.2299929134611606,"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."}}