{"id":"W7001314676","doi":"","title":"Integrio Systems Study Reveals Impact of IT Services on Vancouver’s Business Environment","year":2024,"lang":"en","type":"other","venue":"","topic":"Socioeconomic and Demographic Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business environment; Information technology; Information system; Work (physics); Government (linguistics)","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":[0.0002568403,0.0001930099,0.0001296943,0.001555186,0.003636424,0.002492696,0.000478985,0.0003569812,0.01244286],"category_scores_gemma":[0.001323187,0.0001733659,0.0001802468,0.003125422,0.0005003972,0.0004000152,0.001432977,0.0006216535,0.001153129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009334542,"about_ca_system_score_gemma":0.01126037,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9606159,"about_ca_topic_score_gemma":0.9898884,"domain_scores_codex":[0.999616,0.00004595521,0.00001144588,0.00003653412,0.0001404381,0.0001495025],"domain_scores_gemma":[0.9983035,0.000136484,0.0001038347,0.00006450917,0.0009341149,0.0004574412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002554871,0.0002260772,0.8379703,0.0001088691,0.0000753206,0.0008913449,0.008646172,0.0004973792,0.001155185,0.001924668,0.04405661,0.1041926],"study_design_scores_gemma":[0.000008297158,0.00003474754,0.9555007,0.00003330906,0.00001539833,0.0000657863,0.02336099,0.0003287681,0.0002985798,0.0001678346,0.02017282,0.00001277679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9137949,0.0001892645,0.0001056526,0.001097171,0.00001737235,0.00004646183,0.003849385,0.00003075277,0.08086911],"genre_scores_gemma":[0.9252849,0.000373997,0.0003233161,0.0002222566,0.000009363644,0.00003444162,0.002419728,0.00002994843,0.07130211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03938413,"threshold_uncertainty_score":0.0792321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008026544206159471,"score_gpt":0.2459627190661451,"score_spread":0.2379361748599856,"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."}}