{"id":"W2595674328","doi":"10.1007/s11367-017-1303-1","title":"Subcategory assessment method for social life cycle assessment: a case study of high-density polyethylene production in Alberta, Canada","year":2017,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Alberta Innovates Bio Solutions","keywords":"Subcategory; Life-cycle assessment; Production (economics); Environmental science; Mathematics; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.002814955,0.0002446885,0.0004858555,0.00008080608,0.0005451399,0.0001369147,0.001089262,0.00006637696,0.0001966784],"category_scores_gemma":[0.0003434955,0.0001916746,0.0001522423,0.00007952843,0.0001882278,0.0006552658,0.0005441856,0.0004492729,9.946128e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002817712,"about_ca_system_score_gemma":0.0008793034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7440394,"about_ca_topic_score_gemma":0.5962786,"domain_scores_codex":[0.9964194,0.0004388928,0.001000237,0.0003386966,0.001474464,0.0003283587],"domain_scores_gemma":[0.9973568,0.0003375398,0.00149554,0.0004851952,0.0001311859,0.00019377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000620345,0.005444037,0.9181852,0.00004500454,0.0008994841,0.0007089347,0.003336304,0.04487234,0.002703541,0.0006405878,0.00141221,0.02113201],"study_design_scores_gemma":[0.002352595,0.0003807489,0.9786866,0.00001233484,0.00009766789,0.0001887036,0.010922,0.004903713,0.0003493983,0.001798209,0.0001065534,0.0002014771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850588,0.000006570075,0.001846563,0.01090576,0.0009535301,0.0007409084,0.00001741435,0.000004084139,0.0004663212],"genre_scores_gemma":[0.9962815,0.000009239096,0.002911908,0.000302437,0.0003168742,0.00004276203,0.000005445063,0.00002246558,0.0001073359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1477607,"threshold_uncertainty_score":0.7816262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975334642093933,"score_gpt":0.3539114441365339,"score_spread":0.3341580977155946,"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."}}