{"id":"W4386838640","doi":"10.55041/ijsrem25725","title":"E-WASTE MANAGEMENT USING MACHINE LEARNING","year":2023,"lang":"en","type":"article","venue":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Convolutional neural network; Computer science; Interface (matter); Key (lock); Environmentally friendly; Waste management; Artificial intelligence; Engineering; Computer security; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005071542,0.0001092559,0.0001393132,0.001513497,0.0001737322,0.0002222216,0.0003466029,0.00002570022,0.00004386016],"category_scores_gemma":[0.00002288382,0.00009866605,0.0000606641,0.00150115,0.0001397919,0.0002496311,0.0006565793,0.0003433902,0.00004459088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000148824,"about_ca_system_score_gemma":0.000002683874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002567475,"about_ca_topic_score_gemma":0.000003204996,"domain_scores_codex":[0.9978688,0.00008451158,0.0003874332,0.0002683096,0.0009958298,0.0003951554],"domain_scores_gemma":[0.9996021,0.00006549415,0.00007234144,0.0001398845,0.00002996155,0.00009024591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001005671,0.0002215545,0.0149606,0.0008291148,0.0002099487,0.001747954,0.0004613866,0.854157,0.009188363,0.005864339,0.00662625,0.1056329],"study_design_scores_gemma":[0.001391241,0.0002301747,0.02003207,0.002155162,0.00003705516,0.00009584324,0.001363811,0.8410564,0.001008832,0.003323095,0.1288736,0.0004327105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879525,0.0001336074,0.00601334,0.0003960961,0.0006492619,0.0003071778,0.000001418665,0.0000678431,0.004478726],"genre_scores_gemma":[0.9898334,0.000790783,0.006242631,0.000007118833,0.00003927883,0.000009544789,0.000003287959,0.00001524863,0.003058745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1222473,"threshold_uncertainty_score":0.4023485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05052717600830097,"score_gpt":0.3307670544725979,"score_spread":0.2802398784642969,"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."}}