{"id":"W4392859031","doi":"10.37602/ijssmr.2024.7113","title":"INCENTIVISE HOUSEHOLDS TO ADOPT PROPER WASTE MANAGEMENT AND WATER CONSERVATION METHODS VIA BLOCKCHAIN TECHNOLOGY","year":2024,"lang":"en","type":"article","venue":"International Journal of Social Sciences and Management Review","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Blockchain; Business; Natural resource economics; Environmental economics; Waste management; Environmental planning; Environmental science; Economics; Engineering; Computer science; Computer security","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":[0.002188125,0.0002769426,0.0002452301,0.0004271729,0.0003047237,0.0005851929,0.0007195142,0.0009789324,0.004012598],"category_scores_gemma":[0.00355989,0.00009858893,0.0002483108,0.0006805232,0.0004396763,0.001088199,0.0007953023,0.0005823569,0.0005040349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007808354,"about_ca_system_score_gemma":0.002448971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002948998,"about_ca_topic_score_gemma":0.006486422,"domain_scores_codex":[0.9984616,0.001002374,0.00004206115,0.00006135372,0.0002902322,0.0001425026],"domain_scores_gemma":[0.9975879,0.001549148,0.0003987658,0.0001024398,0.0002519502,0.0001098049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006097562,0.0008625527,0.00422078,0.008937365,0.0003351351,0.0004626337,0.0008791896,0.01805057,0.0122247,0.1692834,0.03003493,0.754099],"study_design_scores_gemma":[0.0008524194,0.002455214,0.01154473,0.005342955,0.0005052439,0.0006742942,0.001607116,0.03255106,0.02143387,0.1588647,0.7640209,0.0001475675],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3270241,0.260882,0.1368432,0.06053865,0.001987368,0.001580979,0.0006164288,0.0006245596,0.2099029],"genre_scores_gemma":[0.8730738,0.0929496,0.01426029,0.002173339,0.0002846063,0.0004010271,0.0001955375,0.00001816695,0.01664359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004012598,"threshold_uncertainty_score":0.01342344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02825351329360177,"score_gpt":0.3303006561965773,"score_spread":0.3020471429029756,"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."}}