{"id":"W565941471","doi":"","title":"GARDINER DAM AREA TRANSPORTATION STUDY","year":2001,"lang":"en","type":"article","venue":"","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Stakeholder; Plan (archaeology); Jurisdiction; Business; Steering committee; Strategic planning; Environmental planning; Operations management; Engineering; Geography; Political science; Engineering management","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":[0.0004665126,0.0003853115,0.0002187929,0.00119418,0.002529568,0.001280699,0.001323143,0.0006248745,0.02705802],"category_scores_gemma":[0.0008727234,0.0003194319,0.0002018192,0.002162025,0.0003861251,0.0008473594,0.001604505,0.0008457776,0.004101472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00866866,"about_ca_system_score_gemma":0.01058156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5387065,"about_ca_topic_score_gemma":0.7934927,"domain_scores_codex":[0.9995258,0.00007087306,0.00001788532,0.00009668738,0.0001156847,0.0001731392],"domain_scores_gemma":[0.9995608,0.00005586254,0.00003249672,0.00003582615,0.0002013119,0.0001136985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000456905,0.001390053,0.4382417,0.001074354,0.0001111828,0.02262637,0.039041,0.003932321,0.009026202,0.04407482,0.2237092,0.2163159],"study_design_scores_gemma":[0.0000377595,0.000289868,0.4543061,0.0004232166,0.00002571825,0.001543898,0.06906673,0.001679758,0.0008922734,0.002591967,0.4690636,0.00007920095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6649648,0.001445735,0.002063395,0.003691621,0.0001435999,0.002972352,0.02516145,0.0001560101,0.299401],"genre_scores_gemma":[0.7963008,0.003005584,0.003390478,0.002546052,0.00004433796,0.002379956,0.0169136,0.00005751104,0.1753617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4612935,"threshold_uncertainty_score":0.9280202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813532600055098,"score_gpt":0.2138847763018065,"score_spread":0.1957494503012555,"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."}}