{"id":"W568151749","doi":"","title":"Innovation and Stakeholder Collaboration in West Coast Gateways: An Analysis of Seaport and Freight Movement Industries","year":2010,"lang":"en","type":"article","venue":"Transportation Research Board 89th Annual MeetingTransportation Research Board","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stakeholder; Incentive; Port (circuit theory); Business; Supply chain; Identification (biology); Stakeholder engagement; Regional science; Technology transfer; Industrial organization; Marketing; Political science; Public relations; Geography; Economics; Engineering; International trade","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":[0.002455974,0.0001672135,0.0002013245,0.003160976,0.002139555,0.003540915,0.0006071548,0.0009644061,0.002398946],"category_scores_gemma":[0.004283788,0.0002090379,0.000372247,0.004616599,0.002200479,0.002665818,0.003871249,0.0005796357,0.000144107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004107416,"about_ca_system_score_gemma":0.003182481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03884719,"about_ca_topic_score_gemma":0.0556809,"domain_scores_codex":[0.998323,0.0007015379,0.00005752712,0.0001327744,0.0002540911,0.0005311068],"domain_scores_gemma":[0.9948737,0.002870821,0.0009554598,0.0002143505,0.0004671048,0.0006184787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001736814,0.0003722957,0.6720171,0.0001430133,0.00004887028,0.004197678,0.2715966,0.001064778,0.001508555,0.01558509,0.000809543,0.03248291],"study_design_scores_gemma":[0.00001985398,0.0001506059,0.5478621,0.0001146212,0.00002717136,0.0005567844,0.4373791,0.001595937,0.0004229806,0.002408388,0.00944406,0.00001837493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973883,0.00004427985,0.0001520507,0.00008689896,6.782533e-7,0.00001262704,0.00001504154,0.00000192199,0.00229821],"genre_scores_gemma":[0.998816,0.0001112031,0.0002534727,0.00002549917,9.329709e-7,0.00001968986,0.00005802857,0.000002115318,0.0007130979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03884719,"threshold_uncertainty_score":0.07724214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06358639373247416,"score_gpt":0.3443470843836037,"score_spread":0.2807606906511295,"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."}}