{"id":"W3142482680","doi":"10.1177/1541931213601199","title":"This Changes Everything","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Ergonomics and Human Factors","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Climate change; Unrest; Capitalism; Environmental ethics; Political science; Natural resource; Position (finance); Public relations; Political economy; Sociology; Engineering ethics; Business; Law; Ecology; Politics; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0002715675,0.0002504512,0.0002750802,0.00003805998,0.0003623509,0.00007130927,0.0003286875,0.0001389894,0.00002689399],"category_scores_gemma":[0.00003178194,0.0001549856,0.0001934517,0.0000657103,0.0001653177,0.0003079592,0.0002138867,0.0001829447,0.000002364495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001135303,"about_ca_system_score_gemma":0.000007884738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003108545,"about_ca_topic_score_gemma":0.00001188169,"domain_scores_codex":[0.9990374,0.000003029845,0.0002842596,0.000232514,0.0001068741,0.0003359138],"domain_scores_gemma":[0.999504,0.00007146617,0.0001588305,0.0000980258,0.00008071393,0.00008697496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003649507,0.00006927878,0.2923386,0.0009925638,0.0006882569,1.513757e-7,0.06357439,0.00009332076,0.5785586,0.02182068,0.0377576,0.004070127],"study_design_scores_gemma":[0.003484597,0.0004334449,0.2647852,0.003114917,0.0004465917,0.00001429741,0.02751097,0.002237949,0.6114587,0.008177852,0.07402235,0.004313151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965137,0.0001728495,0.000003354322,0.0001004243,0.0002597443,0.0001149256,0.0000453058,0.0001277847,0.002661896],"genre_scores_gemma":[0.9987146,0.0003294726,0.0002188209,0.00004135356,0.0001718254,0.000005527136,8.829295e-7,0.00004905102,0.0004685274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03626476,"threshold_uncertainty_score":0.6320128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217959551777595,"score_gpt":0.1969629173453559,"score_spread":0.18478332182758,"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."}}