{"id":"W7095631576","doi":"","title":"Information Technology and Efficiency in Trucking","year":2008,"lang":"en","type":"article","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information technology; Panel data; Function (biology); Econometric model","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":[0.001530692,0.0004099225,0.0005664226,0.001673763,0.0006045763,0.003342254,0.0008128359,0.001128578,0.01235964],"category_scores_gemma":[0.008648772,0.0004077153,0.000765448,0.00406881,0.001561257,0.00180026,0.0007911865,0.0008172165,0.001403645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006696999,"about_ca_system_score_gemma":0.002042937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1795128,"about_ca_topic_score_gemma":0.1071844,"domain_scores_codex":[0.9987873,0.0004154583,0.0000610161,0.0001625362,0.0002703299,0.0003034718],"domain_scores_gemma":[0.9932713,0.004083119,0.00148087,0.0002707566,0.0006099134,0.0002839766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001799833,0.0002356674,0.1943728,0.0002300838,0.0002804539,0.0005839947,0.0006344569,0.6608361,0.0006337588,0.09936742,0.005741067,0.03690423],"study_design_scores_gemma":[0.0001195986,0.0003172832,0.2398971,0.0002938461,0.0001901744,0.0002554017,0.002007465,0.6548452,0.0009869448,0.06843044,0.03254991,0.0001065171],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8538427,0.003782355,0.07272618,0.00532105,0.00006608399,0.0002204004,0.003241226,0.0002175895,0.06058242],"genre_scores_gemma":[0.9819596,0.0008024504,0.001359769,0.00008103997,0.00001933165,0.00003210613,0.0004769038,0.00001561966,0.01525319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1795128,"threshold_uncertainty_score":0.3569359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077574801407463,"score_gpt":0.2390906600681032,"score_spread":0.2283149120540285,"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."}}