{"id":"W3028241270","doi":"10.1016/j.envsci.2020.05.002","title":"From social hotspots to policies for successful implementation of environmentally better technologies? The example of social life cycle assessment of oil and gas technologies in Alberta, Canada","year":2020,"lang":"en","type":"article","venue":"Environmental Science & Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Canada First Research Excellence Fund","keywords":"Software deployment; Process (computing); Business; Emerging technologies; Environmentally friendly; Environmental economics; Work (physics); Environmental planning; Process management; Environmental resource management; Computer science; Economics; Engineering; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003251889,0.0001579107,0.0003163254,0.0001328232,0.000515159,0.00002922144,0.0008695749,0.00009949558,0.00006372236],"category_scores_gemma":[0.00018568,0.0001448047,0.00005882336,0.0007720935,0.002729276,0.0002651767,0.0004449501,0.00009346518,3.704291e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006714031,"about_ca_system_score_gemma":0.0007240524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9298102,"about_ca_topic_score_gemma":0.7327345,"domain_scores_codex":[0.9978864,0.00006431858,0.0004143293,0.0003648603,0.0007880537,0.0004820748],"domain_scores_gemma":[0.9992481,0.0001717881,0.0003538009,0.0001422552,0.00001107871,0.00007291927],"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":[0.00005206753,0.0001773421,0.1906554,0.00003741863,0.00006148362,9.264584e-7,0.09583858,0.0003334537,0.1756938,0.02192112,0.0005178993,0.5147105],"study_design_scores_gemma":[0.0006544475,0.000133492,0.4896954,0.000009563213,0.00002289124,1.037555e-7,0.4601171,0.00005177315,0.04159578,0.002500781,0.004946426,0.0002723009],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578964,0.00002851687,0.0000183204,0.04110258,0.00003766515,0.0002409343,0.0001751491,0.0000197213,0.00048072],"genre_scores_gemma":[0.9987034,0.00009750635,0.0005730799,0.0004039622,0.0001099265,0.00007541089,0.000006775534,0.00001125597,0.00001863353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5144382,"threshold_uncertainty_score":0.9999847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118981437339725,"score_gpt":0.2978423663874601,"score_spread":0.2859442226534876,"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."}}