{"id":"W4413461921","doi":"10.2139/ssrn.5393465","title":"Genotyping Zero Waste Entrepreneurship: A Mixed Methods Approach to Mapping and Categorizing Sustainability Meta-Rules from Social Media","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Social media; Entrepreneurship; Sustainability; Genotyping; Zero (linguistics); Social entrepreneurship; Zero waste; Business; Computer science; Engineering; Genetics; Waste management; World Wide Web; Biology; Ecology; Genotype; Linguistics","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":[0.0227332,0.001026779,0.001120255,0.006604106,0.001137435,0.005502634,0.002413263,0.001836439,0.002884236],"category_scores_gemma":[0.0769576,0.0007484761,0.002459084,0.005338139,0.0009917888,0.002636143,0.003523526,0.001878178,0.001327012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006570313,"about_ca_system_score_gemma":0.00158363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004074357,"about_ca_topic_score_gemma":0.007462264,"domain_scores_codex":[0.9740114,0.01812907,0.001360406,0.003820493,0.002096089,0.0005826771],"domain_scores_gemma":[0.8981645,0.07740756,0.006579222,0.01191332,0.004908801,0.001026504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001486033,0.001915807,0.4343354,0.002093163,0.006118754,0.0004840603,0.01682631,0.01108015,0.02368703,0.02581082,0.009023539,0.4671389],"study_design_scores_gemma":[0.0003595564,0.002246884,0.4408087,0.001255372,0.005291171,0.001148825,0.0227139,0.2572491,0.05594984,0.1555096,0.056646,0.0008211086],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3691292,0.0007917077,0.6122196,0.0007155724,0.0001739742,0.002265843,0.008113437,0.0007658222,0.005824927],"genre_scores_gemma":[0.5035155,0.0002079452,0.4850633,0.0003537655,0.00008702861,0.002834218,0.004703619,0.0002681383,0.002966394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0227332,"threshold_uncertainty_score":0.1202261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02749286310051465,"score_gpt":0.2702541377676717,"score_spread":0.2427612746671571,"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."}}