{"id":"W12988100","doi":"","title":"Strategy for the development of investment decision-making framework for road asset management for queensland department of main roads","year":2003,"lang":"en","type":"article","venue":"Canadian hospital","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asset management; Investment (military); Business; Asset (computer security); Process (computing); Reliability (semiconductor); Risk analysis (engineering); Environmental resource management; Environmental economics; Environmental planning; Finance; Economics; Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002082611,0.0001821371,0.0002845518,0.0003577106,0.0003573677,0.0001152958,0.0005388149,0.00008041946,0.0001209704],"category_scores_gemma":[0.0007606752,0.000132299,0.0001814923,0.0004064642,0.00008410236,0.0001335028,0.0000407318,0.00005497219,0.000004592221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00018449,"about_ca_system_score_gemma":0.0005063166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001539667,"about_ca_topic_score_gemma":0.01595816,"domain_scores_codex":[0.9978137,0.00003105972,0.0008510416,0.0003877753,0.0004888353,0.0004275953],"domain_scores_gemma":[0.9975153,0.001236642,0.0003575506,0.0004783027,0.0002684983,0.0001436802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001145448,0.00006695204,0.01080501,0.00009500257,0.0003020532,0.00000149257,0.001032002,0.0009996078,0.000001541522,0.3118184,0.02023176,0.6545316],"study_design_scores_gemma":[0.001902126,0.000655871,0.05698349,0.0001960109,0.0001421612,0.000002682056,0.007705651,0.003918809,0.0004789158,0.2940831,0.6333476,0.0005836563],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.235756,0.0003365016,0.7511899,0.0004077858,0.001693462,0.005959546,0.0005377376,0.00001334266,0.004105675],"genre_scores_gemma":[0.8366047,0.00000800649,0.1622231,0.0001462629,0.00003731385,0.0006476181,0.00001819632,0.00001425107,0.0003006222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6539479,"threshold_uncertainty_score":0.8905029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05173782913824244,"score_gpt":0.3480668324055312,"score_spread":0.2963290032672887,"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."}}