{"id":"W4405765357","doi":"10.29173/iq1149","title":"Evaluating new technologies and organizational structures","year":2024,"lang":"en","type":"article","venue":"IASSIST Quarterly","topic":"Business and Economic Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0855217,0.000769102,0.0009573819,0.007387578,0.005333903,0.02891175,0.002366817,0.003228996,0.03617163],"category_scores_gemma":[0.2468794,0.0005439947,0.001013848,0.009062961,0.007202252,0.02753805,0.009217858,0.004579274,0.006234918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01459873,"about_ca_system_score_gemma":0.01352355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00540344,"about_ca_topic_score_gemma":0.0082512,"domain_scores_codex":[0.9106693,0.05688176,0.003726719,0.003034287,0.02337724,0.002310644],"domain_scores_gemma":[0.7685647,0.1286058,0.02010241,0.01497835,0.05081579,0.01693296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002387979,0.0004610787,0.02575417,0.001923004,0.0003147416,0.0001261398,0.01553706,0.001037355,0.0003373266,0.1583546,0.2755383,0.5203775],"study_design_scores_gemma":[0.0001851334,0.001148306,0.03771505,0.006081675,0.0003695664,0.0001004233,0.05676993,0.002689518,0.00137181,0.1857007,0.7076834,0.0001845139],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08972486,0.04034648,0.0351386,0.2602252,0.02154998,0.002903904,0.003105469,0.00081393,0.5461916],"genre_scores_gemma":[0.7547651,0.04266537,0.08225616,0.02381019,0.007648828,0.006577743,0.004977004,0.00122882,0.07607076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0855217,"threshold_uncertainty_score":0.4522874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723720550173419,"score_gpt":0.2533088606465583,"score_spread":0.2360716551448241,"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."}}