{"id":"W4285071885","doi":"10.1111/aehr.12220","title":"Dry bulk shipping and the evolution of maritime transport costs, 1850–2020","year":2021,"lang":"en","type":"article","venue":"Australian Economic History Review","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Boom; Demand shock; Economics; Environmental science; Monetary economics; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007075938,0.0002650319,0.0002306501,0.00217415,0.0001515782,0.0009228003,0.0002490451,0.0002453024,0.00232778],"category_scores_gemma":[0.001547948,0.0001516975,0.0004564525,0.00417755,0.0003233631,0.0006376997,0.0006027007,0.0005230954,0.000289103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001353513,"about_ca_system_score_gemma":0.00104964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08504284,"about_ca_topic_score_gemma":0.06702078,"domain_scores_codex":[0.999832,0.00003377892,0.00001601179,0.0000264921,0.00005988271,0.00003180738],"domain_scores_gemma":[0.999478,0.00008018334,0.0001929856,0.00002143932,0.0001736323,0.00005376426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004294472,0.0001419674,0.4920279,0.01172296,0.002552054,0.001313507,0.003661292,0.03426701,0.002791693,0.04062652,0.04672846,0.3637371],"study_design_scores_gemma":[0.000004614476,0.00007147201,0.9335231,0.001017223,0.000153079,0.0001223593,0.0005743937,0.001540364,0.0001607706,0.0008203536,0.06199665,0.00001556076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6808981,0.2721159,0.001141748,0.005404366,0.000409414,0.00003158824,0.01094436,0.000034602,0.02901976],"genre_scores_gemma":[0.895825,0.09496155,0.0003190758,0.0003732874,0.0001934603,0.00001229016,0.004135642,0.00001226139,0.004167474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08504284,"threshold_uncertainty_score":0.1690956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862543293020518,"score_gpt":0.2233062493559815,"score_spread":0.2046808164257763,"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."}}