{"id":"W6991561083","doi":"","title":"HMAP Dataset 5: Newfoundland, 1698-1833","year":2010,"lang":"en","type":"article","venue":"Repository@Hull (Worktribe) (University of Hull)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Fishing; Scope (computer science); Colonialism; Range (aeronautics); Government (linguistics)","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":[0.0005770738,0.0009017015,0.0007292645,0.006363037,0.001496004,0.001487236,0.00190971,0.0008874027,0.03392893],"category_scores_gemma":[0.002802787,0.0005200141,0.00061667,0.01381122,0.0003795763,0.0007311626,0.001135832,0.000844747,0.01598744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007480641,"about_ca_system_score_gemma":0.009652893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9228088,"about_ca_topic_score_gemma":0.9552866,"domain_scores_codex":[0.9992076,0.00004604538,0.00007828782,0.0001690775,0.0001886548,0.000310435],"domain_scores_gemma":[0.9968089,0.0002909797,0.0004013097,0.0003875491,0.001846883,0.0002644256],"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":[0.0001064908,0.00003347426,0.01681839,0.0004069532,0.00008415605,0.0001444731,0.0001395104,0.0006530804,0.0001534317,0.0003448272,0.975481,0.005634129],"study_design_scores_gemma":[0.0001380178,0.00001727686,0.2868564,0.0002667524,0.00005252731,0.0001231663,0.0009704787,0.0005988521,0.0004760192,0.0001625736,0.710284,0.00005392434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001593767,0.00005579355,0.00002256526,0.00004844636,0.00001179193,0.00000845023,0.9971179,0.00005961164,0.001081697],"genre_scores_gemma":[0.004189372,0.0000708342,0.000149539,0.00002716742,0.000008569464,0.00005643712,0.9923331,0.00001968939,0.003145399],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07719117,"threshold_uncertainty_score":0.1552915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005754077848986207,"score_gpt":0.1940430649156695,"score_spread":0.1882889870666833,"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."}}