{"id":"W7042266612","doi":"","title":"Pacific Connections: The Making of the U.S.-Canadian Borderlands","year":2012,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Asian American and Pacific Histories","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Making-of; Government (linguistics); Face (sociological concept); Process (computing); Indigenous","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":[0.0009332738,0.0002342729,0.0002480505,0.00145582,0.02963395,0.008196368,0.0009094346,0.001069685,0.0115059],"category_scores_gemma":[0.002859956,0.0002192473,0.0001456467,0.002930383,0.01094375,0.002629275,0.004108907,0.002129546,0.0002937655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04026524,"about_ca_system_score_gemma":0.07630889,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9835367,"about_ca_topic_score_gemma":0.9961913,"domain_scores_codex":[0.9988747,0.0001869595,0.00001618626,0.00009036498,0.000233118,0.0005986398],"domain_scores_gemma":[0.9989888,0.0000999671,0.00005631419,0.00004165826,0.0003645377,0.0004486962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001091362,0.00003570311,0.03095244,0.0001413082,0.00002944278,0.001214028,0.3543738,0.0004719906,0.0008835049,0.4933801,0.04039973,0.07800882],"study_design_scores_gemma":[0.00001103376,0.00001541173,0.06168026,0.0004434072,0.00003592511,0.0002195322,0.5487275,0.0002355075,0.000250646,0.01791167,0.370424,0.00004507793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3886375,0.004729917,0.0006397716,0.0201849,0.0002328564,0.00004973099,0.0003132457,0.00002571773,0.5851864],"genre_scores_gemma":[0.9853272,0.001378059,0.0002644913,0.0005079554,0.00001198611,0.000008094716,0.00004396849,0.00001494782,0.01244324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04026524,"threshold_uncertainty_score":0.2921462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105200936890953,"score_gpt":0.2463310754240884,"score_spread":0.2252790660551789,"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."}}