{"id":"W3125979966","doi":"10.2139/ssrn.1515694","title":"Information Technology, Productivity and Asset Ownership: Evidence from Taxicab Fleets","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Productivity; Business; Asset (computer security); Industrial organization; Finance; Economics; Computer science; Computer security","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":[0.001217381,0.0003433977,0.0003658747,0.00207811,0.0008625379,0.002031574,0.000508928,0.0006865809,0.00774077],"category_scores_gemma":[0.009445159,0.0003006886,0.0005324878,0.004059966,0.0009634031,0.001992738,0.001051697,0.000996376,0.001026525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007124311,"about_ca_system_score_gemma":0.0005990504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05768451,"about_ca_topic_score_gemma":0.06965906,"domain_scores_codex":[0.9995016,0.0001407873,0.00004302854,0.00007547186,0.0001170073,0.0001220713],"domain_scores_gemma":[0.9809218,0.008687924,0.007007945,0.001000571,0.001277781,0.001103969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004930436,0.0002791012,0.9876243,0.00005878063,0.0003699928,0.0002466423,0.0009295889,0.0009001378,0.0001699384,0.0008866464,0.0009846715,0.007057037],"study_design_scores_gemma":[0.00003290804,0.0002179236,0.9909576,0.00009681948,0.0002033848,0.0001319785,0.004757549,0.0005727823,0.0002194771,0.0004302922,0.002364214,0.00001516876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970196,0.000386098,0.0000784362,0.0001430386,0.000003368093,0.000003807062,0.0005512256,0.000001602766,0.001812787],"genre_scores_gemma":[0.9964095,0.0006996525,0.00004467869,0.00003131907,0.0000072439,0.000005468358,0.001275059,0.00000284453,0.001524158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05768451,"threshold_uncertainty_score":0.1146975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587925962844147,"score_gpt":0.2172563756895144,"score_spread":0.201377116061073,"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."}}