{"id":"W6942193746","doi":"10.14288/1.0229359","title":"Great Lakes Steamship Service","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service (business); Work (physics); Marine safety","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003696113,0.0004572205,0.0002639797,0.00102921,0.005400877,0.002077387,0.0006730671,0.001199853,0.6253428],"category_scores_gemma":[0.001343144,0.0003643823,0.0001903567,0.001290252,0.0006133739,0.00117862,0.001695677,0.001103286,0.1944336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004508095,"about_ca_system_score_gemma":0.01252055,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6197978,"about_ca_topic_score_gemma":0.8971466,"domain_scores_codex":[0.9995412,0.00002284269,0.000007154493,0.00003971212,0.0002862001,0.0001029642],"domain_scores_gemma":[0.9989405,0.00004725108,0.00002308465,0.0000373536,0.0005668732,0.0003849542],"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":[0.000006007143,0.000004749097,0.00007462373,0.00001120791,2.795429e-7,0.00001790582,0.00005012892,0.000003553481,0.0000480131,0.0003690159,0.9924781,0.006936276],"study_design_scores_gemma":[0.000002963355,0.000003166598,0.0009686169,0.00001251814,5.747302e-7,0.0000146953,0.0001666169,0.00001199657,0.00003010146,0.0000390617,0.9987464,0.000003164615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001572732,0.001293936,0.000138321,0.008408438,0.001649116,0.0001120391,0.003088267,0.0007926627,0.9829444],"genre_scores_gemma":[0.002467718,0.0003142931,0.00008270469,0.0005697814,0.0001128699,0.000009385618,0.0005997883,0.0000716459,0.9957718],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6253428,"threshold_uncertainty_score":0.7648826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02826776155569208,"score_gpt":0.2637269344949894,"score_spread":0.2354591729392973,"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."}}