{"id":"W7145023953","doi":"","title":"華人の東南アジア移民とシンガポール豐源號 (Wee Bin & Co.) の汽船","year":2020,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Marine and Coastal Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Southeast asia; China; Immigration; Heading (navigation); Middle East; Pacific ocean","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003497165,0.0006692415,0.0005998216,0.0001902674,0.0007879077,0.0005781019,0.0009137915,0.0002896298,0.001255589],"category_scores_gemma":[0.001199229,0.0007177111,0.000269184,0.001045039,0.0005553291,0.001397725,0.0009386965,0.001280298,0.002182406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004191616,"about_ca_system_score_gemma":0.001114983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001234192,"about_ca_topic_score_gemma":0.00009789538,"domain_scores_codex":[0.9950883,0.0001259918,0.0009373022,0.000997141,0.001832517,0.001018796],"domain_scores_gemma":[0.9972078,0.0002720199,0.0001297422,0.000959547,0.0003924108,0.001038449],"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":[0.002560322,0.001247964,0.01168959,0.007108007,0.002271773,0.01485809,0.003130344,0.01377519,0.1662716,0.3183599,0.4330885,0.02563876],"study_design_scores_gemma":[0.001118993,0.000274102,0.0009893968,0.0003767004,0.0001058163,0.0002128966,0.0002723786,0.009334079,0.02714913,0.00009100388,0.959121,0.0009544603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2045543,0.0130767,0.03330113,0.01569327,0.01862872,0.003185378,0.0171009,0.002828024,0.6916316],"genre_scores_gemma":[0.9849925,0.000836988,0.001438423,0.000598391,0.006488184,0.00009557274,0.002569572,0.0001074097,0.002872948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7804382,"threshold_uncertainty_score":0.9996574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03537198871228681,"score_gpt":0.2792085782089814,"score_spread":0.2438365894966946,"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."}}