{"id":"W240069407","doi":"","title":"The Truck System in the Cape Breton Fishery: Philip Robin and Company in Chéticamp, 1843–1852","year":2015,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University","funders":"","keywords":"Cape; Bay; Ledger; Work (physics); Fishery; New england; Truck; Economic history; Business; Economy; History; Economics; Archaeology; Finance; Political science; Law; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001058392,0.0001006148,0.0001623545,0.005387673,0.0007535298,0.0003240891,0.0005559729,0.0001016921,0.0000102604],"category_scores_gemma":[0.0001162696,0.00009430607,0.00004811883,0.004683212,0.0005611352,0.0003263669,0.0000724267,0.0002497582,0.00002520013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001749107,"about_ca_system_score_gemma":0.001632107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.929055,"about_ca_topic_score_gemma":0.9921523,"domain_scores_codex":[0.9983796,0.0006112651,0.000131619,0.0002335269,0.0002958373,0.0003481101],"domain_scores_gemma":[0.9993346,0.0001936809,0.00006853145,0.0002399916,0.00005231411,0.0001108271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003032537,0.000264925,0.01423732,0.00013303,0.00006715105,0.0009496809,0.7015893,0.00005061313,0.000003483629,0.2423489,0.02048621,0.01956608],"study_design_scores_gemma":[0.0005260316,0.00002076228,0.001260333,0.00003246186,0.00001682678,0.000004551307,0.04659415,0.00005521599,6.872633e-7,0.000004921558,0.9513664,0.0001176765],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2732922,0.00002161478,0.000002727029,0.001445814,0.0002583679,0.000557395,0.00001514404,0.00004975127,0.724357],"genre_scores_gemma":[0.9866371,0.01279411,0.00001216952,0.0001059257,0.0001010871,0.000003590785,0.000003313793,0.00000909237,0.0003336674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9308802,"threshold_uncertainty_score":0.5795618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02298380770299112,"score_gpt":0.2152565972325923,"score_spread":0.1922727895296012,"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."}}