{"id":"W589990466","doi":"","title":"A maritime odyssey : I was just 17, gathered up all my money, and set out to take a trip through Eastern Canada by train for 17 days","year":2014,"lang":"en","type":"article","venue":"Trains (Milwaukee, Wis. : 1954)","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); History; Geography; Computer science","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":[0.0004437746,0.0003685587,0.0001786987,0.0002528553,0.01643605,0.003045382,0.0003606057,0.00185369,0.02130948],"category_scores_gemma":[0.0008636392,0.0002790928,0.0001826908,0.0004821504,0.002535023,0.002364837,0.001615251,0.005600591,0.003733802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004748908,"about_ca_system_score_gemma":0.005488343,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2991073,"about_ca_topic_score_gemma":0.5943319,"domain_scores_codex":[0.9997773,0.00005383906,0.000006832698,0.00003016517,0.00004260426,0.00008939204],"domain_scores_gemma":[0.9996936,0.00001368406,0.00001374217,0.000007424143,0.00005988253,0.000211792],"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":[0.0001246147,0.00005424377,0.005510272,0.00006110738,0.00001495396,0.0008416754,0.03941514,0.00006356866,0.001075808,0.01661039,0.9227214,0.01350679],"study_design_scores_gemma":[0.000005682963,0.00003401917,0.0102559,0.0001345683,0.000006847761,0.0003361398,0.08542859,0.00004778642,0.0003334407,0.0007904805,0.9025975,0.00002895906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.2049738,0.00903651,0.00163387,0.4857935,0.01902717,0.00008699456,0.002106403,0.0003645772,0.2769772],"genre_scores_gemma":[0.2922429,0.004504918,0.001180661,0.03662857,0.0006012901,0.00004575371,0.0004680963,0.0002593487,0.6640685],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7008927,"threshold_uncertainty_score":0.5947327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06035998006268604,"score_gpt":0.3232884082173814,"score_spread":0.2629284281546953,"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."}}