{"id":"W4403914043","doi":"10.2139/ssrn.5005164","title":"Streamlining E-Bidding Process Through Automated Compliance Check of Procurement Advertisements with Ppra Rules","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Bidding; Compliance (psychology); Procurement; Process (computing); Business; Computer science; Marketing; Operating system; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01616606,0.000931014,0.001720998,0.004173554,0.001241905,0.005979256,0.002346656,0.001425918,0.01040935],"category_scores_gemma":[0.05787348,0.001055443,0.000847441,0.002035767,0.0006751267,0.003431966,0.00222091,0.002744264,0.007871525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007871914,"about_ca_system_score_gemma":0.00351173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003045935,"about_ca_topic_score_gemma":0.00199842,"domain_scores_codex":[0.9792012,0.008991277,0.001965042,0.002833608,0.005857764,0.001151206],"domain_scores_gemma":[0.9249446,0.04220252,0.006280281,0.01486688,0.009942046,0.00176367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002730035,0.003481449,0.04148737,0.0005629769,0.0002038592,0.0009660879,0.001814752,0.02123266,0.04372922,0.01038469,0.02945381,0.8439531],"study_design_scores_gemma":[0.0003833365,0.000943962,0.0287183,0.0001838671,0.0002279077,0.0009340314,0.0009030497,0.849726,0.07309214,0.01520065,0.02940687,0.0002798313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2494396,0.0007081394,0.6372845,0.001529194,0.0005934456,0.00260203,0.001259804,0.08157966,0.0250036],"genre_scores_gemma":[0.8013728,0.0001614028,0.1886588,0.0004282219,0.000191836,0.0004791756,0.00115032,0.001260966,0.006296435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01616606,"threshold_uncertainty_score":0.08549535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04318273029926348,"score_gpt":0.3609167647976413,"score_spread":0.3177340344983778,"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."}}