{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004216326,0.0002421432,0.0003343857,0.0008868391,0.0006418325,0.002484256,0.0003830505,0.0007060526,0.006121646],"category_scores_gemma":[0.02079635,0.0001509623,0.000339588,0.001265465,0.0008315817,0.002749468,0.001010126,0.001267383,0.00193086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105663,"about_ca_system_score_gemma":0.001827295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003113914,"about_ca_topic_score_gemma":0.009110184,"domain_scores_codex":[0.997335,0.001207821,0.0001718808,0.0002142965,0.0009002118,0.0001706523],"domain_scores_gemma":[0.9934843,0.003315292,0.001149402,0.0002385741,0.001288075,0.0005244076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008422849,0.0003986848,0.2204894,0.001523744,0.0001335299,0.0002375581,0.01975908,0.00017904,0.001398189,0.01349003,0.03925399,0.7030525],"study_design_scores_gemma":[0.00003256098,0.0004634506,0.4504597,0.007974599,0.0004499927,0.001995961,0.08227106,0.0006067886,0.004261249,0.0379817,0.4133575,0.0001454247],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5141091,0.04173898,0.0260675,0.06728331,0.00208574,0.000353849,0.002491616,0.0003544911,0.3455154],"genre_scores_gemma":[0.8425905,0.07089309,0.02695705,0.01714363,0.0007737366,0.0005626627,0.001664411,0.0001069439,0.03930805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006121646,"threshold_uncertainty_score":0.02229834,"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."}}