{"id":"W7133280796","doi":"","title":"Canadian port readiness shore power study","year":2024,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Port (circuit theory); Shore; Government (linguistics); Power (physics)","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":[0.002572572,0.0002787811,0.000301172,0.005229164,0.008454365,0.002592899,0.001030192,0.0003955535,0.009011431],"category_scores_gemma":[0.008148283,0.000301769,0.0004925989,0.009472514,0.0009307332,0.0009846349,0.001687803,0.0009811597,0.000731234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08039416,"about_ca_system_score_gemma":0.2497689,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967451,"about_ca_topic_score_gemma":0.9984585,"domain_scores_codex":[0.9973291,0.0001827308,0.000106421,0.0001537137,0.001635954,0.0005921358],"domain_scores_gemma":[0.9876449,0.0008060956,0.0004512707,0.0001500961,0.009481082,0.00146664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002552424,0.0006013769,0.4883328,0.002564747,0.0002006417,0.002707121,0.06976479,0.00135313,0.001852555,0.0350388,0.1694897,0.227839],"study_design_scores_gemma":[0.00004324261,0.0001652768,0.6327736,0.0007725763,0.0001281616,0.0002600274,0.1205435,0.0007647047,0.0008683854,0.0007081224,0.2428517,0.0001206981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6779817,0.003137586,0.001414855,0.01293399,0.00016895,0.001456572,0.02627094,0.0001420626,0.2764933],"genre_scores_gemma":[0.9379721,0.00502906,0.003056204,0.001906159,0.00002493576,0.0007502333,0.008629675,0.00004747978,0.0425842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08039416,"threshold_uncertainty_score":0.5833032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0086340241444173,"score_gpt":0.2453985292547971,"score_spread":0.2367645051103798,"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."}}