{"id":"W2924885779","doi":"","title":"Management of the Great Lakes-St. Lawrence Maritime Transportation System","year":2018,"lang":"en","type":"article","venue":"Canada-United States law journal","topic":"Transportation Systems and Infrastructure","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marine transportation; Oceanography; Environmental science; Engineering; Archaeology; Geography; Marine engineering; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002195572,0.0001718536,0.0001917755,0.000110885,0.0005891735,0.0001506194,0.0003507699,0.00004825427,0.0003421541],"category_scores_gemma":[0.00000243627,0.0001218463,0.0000787758,0.000651866,0.0001234177,0.000463132,0.00001078152,0.000179543,0.000005522853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009252885,"about_ca_system_score_gemma":0.00006202423,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2251072,"about_ca_topic_score_gemma":0.6792855,"domain_scores_codex":[0.998503,0.00002004448,0.0005289365,0.0001540549,0.0005312909,0.0002626473],"domain_scores_gemma":[0.9987364,0.00001237985,0.0004670992,0.000207829,0.0005430857,0.00003317238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000196298,0.00005295117,0.06316829,0.002914332,0.0006831792,0.0005601231,0.0005856761,0.004318106,0.0001584255,0.8360566,0.08686955,0.004436398],"study_design_scores_gemma":[0.00100734,0.00001983258,0.1389828,0.0008928087,0.0002259119,0.00004276385,0.004605383,0.001597456,0.0001093196,0.0008745583,0.8513068,0.0003349939],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618421,0.0001367039,0.002571709,0.00123141,0.003150301,0.0005748364,0.0004729577,0.000100487,0.02991955],"genre_scores_gemma":[0.998028,0.00000748298,0.0001191547,0.0009330919,0.0004509621,0.000004635547,0.0001688141,0.00002162808,0.0002661869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8351821,"threshold_uncertainty_score":0.7800529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006897953934797051,"score_gpt":0.1833779508261864,"score_spread":0.1764799968913894,"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."}}