{"id":"W4230613202","doi":"10.2139/ssrn.2312819","title":"Verdant Clothing: Integrating Environment into Decision Making","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Clothing; Business; Computer science; Advertising; Marketing; Geography; Archaeology","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":[0.001476039,0.0003409567,0.0002043942,0.0004837209,0.0003954722,0.002682931,0.0005123639,0.0003987633,0.01202676],"category_scores_gemma":[0.003930205,0.0001892143,0.0002727393,0.0005401652,0.0005579189,0.002197707,0.001277134,0.0005793502,0.001150539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003397412,"about_ca_system_score_gemma":0.0006281847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002443319,"about_ca_topic_score_gemma":0.004679472,"domain_scores_codex":[0.9991153,0.0005670995,0.00003155521,0.00008125522,0.0001603419,0.00004451986],"domain_scores_gemma":[0.9974082,0.001886847,0.0001233416,0.0001713945,0.00018627,0.0002239191],"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":[0.00138876,0.001031678,0.0610642,0.0005858086,0.000142952,0.0007692778,0.006641466,0.01111184,0.007937288,0.06910495,0.01605178,0.82417],"study_design_scores_gemma":[0.0003118498,0.002225153,0.187952,0.0008517749,0.0006133186,0.001985031,0.02085415,0.1633195,0.02205817,0.2788265,0.3205917,0.0004107597],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5339941,0.00166743,0.2406015,0.004356833,0.0004216985,0.0001771504,0.001055284,0.002481615,0.2152443],"genre_scores_gemma":[0.8691371,0.0007024682,0.1125962,0.0002745383,0.00005928554,0.00006489638,0.0004721575,0.0002930038,0.01640044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01202676,"threshold_uncertainty_score":0.04023349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009235109279896963,"score_gpt":0.231424440464264,"score_spread":0.222189331184367,"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."}}