{"id":"W1913183552","doi":"10.1111/jiec.12120","title":"Is There Cash in That Trash?","year":2014,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Sustainable Industrial Ecology","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Industrial symbiosis; Diversity (politics); Industrial ecology; Work (physics); Cash; Resource (disambiguation); Value (mathematics); Business; Economics; Set (abstract data type); Sociology; Ecology; Statistics; Computer science; Macroeconomics; Sustainability; Biology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001299378,0.0001937992,0.0006366659,0.0004779809,0.00003506869,0.00002486631,0.0003671057,0.0008939601,0.00107212],"category_scores_gemma":[0.0008914585,0.0001809279,0.0001339018,0.0003205621,0.00006947516,0.0001968886,0.00003702738,0.00133329,0.00003991059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006045062,"about_ca_system_score_gemma":0.000296082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003291126,"about_ca_topic_score_gemma":0.0002403009,"domain_scores_codex":[0.9981668,0.0002572376,0.0007651076,0.0001299931,0.0001656187,0.0005152699],"domain_scores_gemma":[0.9986617,0.0006567385,0.0002666386,0.0001703933,0.0001004122,0.0001440926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009594279,0.0004512607,0.4449483,0.0000711012,0.000715706,0.001841571,0.001648681,0.1551383,0.0006329587,0.001364616,0.2255546,0.1666735],"study_design_scores_gemma":[0.04655285,0.006143928,0.1602616,0.0003055458,0.0003313778,0.00272361,0.005803245,0.02437834,0.007307804,0.008570039,0.7356604,0.00196124],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892783,0.0001019187,0.00008887883,0.001876998,0.004208801,0.0001824975,0.000002804746,0.00003350485,0.004226274],"genre_scores_gemma":[0.9977806,0.00004495593,0.0000806763,0.0002511919,0.001670499,0.000005779046,6.520621e-7,0.00003515695,0.0001304557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5101058,"threshold_uncertainty_score":0.999841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03845637061453879,"score_gpt":0.241876329336446,"score_spread":0.2034199587219072,"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."}}