{"id":"W2785431880","doi":"10.1177/084387140902100136","title":"Book Review: Rigged for River and Sea: A Researcher's Guide to Late Mediaeval and Early-Modern Terms, Relating to Fishing and Associated Trades and Deriving Mainly from English Sources","year":2009,"lang":"en","type":"article","venue":"International Journal of Maritime History","topic":"Historical Influence and Diplomacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Fishing; Fishery; Geography; History; Biology","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":[0.004232383,0.001606475,0.003133357,0.01252771,0.001506111,0.005021274,0.001716594,0.002747655,0.03464869],"category_scores_gemma":[0.02314411,0.0009564543,0.0007548759,0.01602391,0.001935091,0.005076404,0.001715004,0.003819453,0.0347985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00356128,"about_ca_system_score_gemma":0.009560162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01080613,"about_ca_topic_score_gemma":0.0398735,"domain_scores_codex":[0.9976466,0.0007065854,0.0004773515,0.0001524529,0.0009284909,0.00008844374],"domain_scores_gemma":[0.9749977,0.01249916,0.001371017,0.0004633451,0.009664206,0.001004553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006420141,0.00001087901,0.00004402447,0.001704924,0.000006511934,0.00003637085,0.0001442314,0.00002480905,0.00009196599,0.0005040624,0.9649958,0.03242996],"study_design_scores_gemma":[0.000008381742,0.00001574203,0.0005013564,0.004396565,0.00001398184,0.000156313,0.0001977992,0.00003022685,0.00004598629,0.000684398,0.9939362,0.0000130766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004426401,0.8119134,0.003224096,0.08494654,0.05397011,0.000892423,0.0038132,0.000544684,0.04025288],"genre_scores_gemma":[0.002532291,0.7575383,0.008219929,0.04171548,0.02899355,0.00227238,0.002708574,0.0005055746,0.155514],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03464869,"threshold_uncertainty_score":0.1159114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02411149497703679,"score_gpt":0.3255088831899602,"score_spread":0.3013973882129234,"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."}}