{"id":"W7097872470","doi":"","title":"Technology in an Institutional Setting: A Case Study at the University of Guelph","year":2005,"lang":"en","type":"article","venue":"","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Procurement; Production (economics); Environmental impact assessment; Information technology; Computer technology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002079261,0.00003672507,0.00004205379,0.00003834486,0.000111592,0.000002765519,0.000153861,0.00002324211,0.0004492177],"category_scores_gemma":[0.000004438201,0.00002730869,0.00001004236,0.0001726019,0.000180223,0.00008572652,0.0002826888,0.00004956335,0.00004353144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009320326,"about_ca_system_score_gemma":0.000002259147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001333118,"about_ca_topic_score_gemma":0.01060002,"domain_scores_codex":[0.9996392,0.0000278866,0.00006456063,0.0001210326,0.00007696176,0.00007036131],"domain_scores_gemma":[0.9997888,0.000008820648,0.00002289149,0.0001656724,0.000001855195,0.00001198983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007824856,0.0003562114,0.9296442,0.000001183172,0.00000386354,0.0003036681,0.0008444272,0.003206522,0.000727622,0.0003950847,0.0009305039,0.06357884],"study_design_scores_gemma":[0.002416876,0.001013669,0.7951721,0.0000250392,0.00005528089,0.0007512649,0.08670677,0.02479942,0.004253784,0.001574185,0.08263158,0.0006000378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875938,0.000003276342,0.0002715984,0.0008262008,0.000005401809,0.0001688989,4.398532e-7,0.00005256748,0.01107786],"genre_scores_gemma":[0.9973791,0.000002303133,0.001546563,0.00003344543,0.000002947307,8.435021e-7,4.271913e-7,0.000001336708,0.001033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1344722,"threshold_uncertainty_score":0.5915058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259846087560456,"score_gpt":0.2421699012069165,"score_spread":0.229571440331312,"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."}}