{"id":"W7067472931","doi":"","title":"Message on the subject of the arrangements made for the transport of United States mails between Europe and America, by the Canadian line of steamships.","year":2014,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Subject (documents); Line (geometry); Government (linguistics); Subject access","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":[],"consensus_categories":[],"category_scores_codex":[0.00138176,0.0001233453,0.0002139499,0.0002023228,0.0004608514,0.00007674668,0.002005983,0.00003095271,0.00009645754],"category_scores_gemma":[0.0002836374,0.00005639837,0.00009802822,0.001471321,0.0005982922,0.0001804996,0.0002717339,0.0001333333,0.000002998152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001410549,"about_ca_system_score_gemma":0.00008118838,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06629992,"about_ca_topic_score_gemma":0.003688524,"domain_scores_codex":[0.998088,0.000506822,0.0002481065,0.0003080918,0.0006356323,0.0002133313],"domain_scores_gemma":[0.9956243,0.002790755,0.0003436134,0.001049619,0.0001095497,0.00008216396],"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":[0.0001498069,0.00007691832,0.09621096,0.0000371,0.0002049984,0.000001789528,0.002987372,0.001359596,0.00002430755,0.006410579,0.8829508,0.009585739],"study_design_scores_gemma":[0.000400584,0.0001450664,0.1191669,0.00004436901,0.0001080544,3.675638e-8,0.005774029,0.0005860761,0.001494001,0.0007079602,0.8714571,0.0001158174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.803128,0.00001784452,0.00304215,0.1858051,0.0001902104,0.0008414679,0.001391676,0.00002223484,0.005561293],"genre_scores_gemma":[0.9769925,0.00003051932,0.0001103218,0.0004491222,0.00001397347,5.276594e-7,0.00004922206,0.000008439303,0.02234533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.185356,"threshold_uncertainty_score":0.9399177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03435882214765718,"score_gpt":0.239528379449403,"score_spread":0.2051695573017459,"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."}}