{"id":"W6991394559","doi":"","title":"Gexpro Services Expands Scale and Global Footprint with First Quarter 2022 Acquisitions","year":2022,"lang":"en","type":"other","venue":"","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Footprint; Quarter (Canadian coin); Ecological footprint","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":[0.0006962207,0.0008382338,0.0002508077,0.0009022085,0.0006009372,0.003440055,0.0006317592,0.00151563,0.1423203],"category_scores_gemma":[0.002480947,0.000157191,0.0004593797,0.0009002104,0.0005257599,0.002661106,0.001897993,0.001242923,0.05133306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002326914,"about_ca_system_score_gemma":0.003393331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02172968,"about_ca_topic_score_gemma":0.02210589,"domain_scores_codex":[0.999501,0.00003967021,0.000008628154,0.00005877297,0.0002723787,0.0001196524],"domain_scores_gemma":[0.999094,0.00008744287,0.00006637043,0.00009477407,0.0003884262,0.0002690976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001725246,0.00006286057,0.001853866,0.00006720354,0.00001017226,0.0001233412,0.00003638112,0.0006563253,0.0008585776,0.03931865,0.8607475,0.09609267],"study_design_scores_gemma":[0.00003639452,0.00005388732,0.005924817,0.00004887769,0.00000633444,0.0001550071,0.0001101324,0.001598113,0.001221095,0.01047889,0.9803553,0.00001126693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01823655,0.001134276,0.00358354,0.0133518,0.001394608,0.00008528844,0.02050551,0.003794855,0.9379136],"genre_scores_gemma":[0.0824974,0.001424147,0.003516792,0.002756458,0.0004807377,0.00008105227,0.02237516,0.00158753,0.8852808],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1423203,"threshold_uncertainty_score":0.4761088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110844991523006,"score_gpt":0.1882587765649212,"score_spread":0.1771503266496912,"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."}}