{"id":"W3159664868","doi":"10.3386/w28627","title":"Dry Bulk Shipping and the Evolution of Maritime Transport Costs, 1850-2020","year":2021,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Environmental science; Business","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002791603,0.0002945067,0.0001489873,0.001282949,0.0001672493,0.0009436331,0.0002194078,0.0002121245,0.002446273],"category_scores_gemma":[0.0009842531,0.0001435064,0.0005090995,0.001836823,0.0002471622,0.0005960242,0.0007186696,0.0005162868,0.0005261019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007157974,"about_ca_system_score_gemma":0.0003579178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07079993,"about_ca_topic_score_gemma":0.06985247,"domain_scores_codex":[0.9998907,0.000008797596,0.000009115917,0.00002954546,0.0000286685,0.00003318165],"domain_scores_gemma":[0.9995092,0.00004234061,0.0002397432,0.00003065735,0.0001128274,0.00006522788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001128487,0.00004664653,0.9605007,0.0001138496,0.0002349451,0.0002260116,0.0002997126,0.01133942,0.0006292341,0.002014449,0.00938026,0.01510186],"study_design_scores_gemma":[0.000003105828,0.00002180388,0.9905198,0.00002498881,0.00002175667,0.00005143768,0.0001648315,0.001681378,0.0001058934,0.0001627664,0.007233636,0.000008688757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756048,0.00107684,0.0003523259,0.0004304934,0.00004754331,0.000004895121,0.01767196,0.00003775641,0.004773416],"genre_scores_gemma":[0.9691623,0.000740034,0.0002115325,0.00007211033,0.00005870294,0.000006284985,0.02765637,0.00001281834,0.002079788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07079993,"threshold_uncertainty_score":0.1407757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1877600682897343,"score_gpt":0.4090752396644701,"score_spread":0.2213151713747358,"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."}}