{"id":"W7055510900","doi":"","title":"Commercial union in North America; some letters, papers, and speeches.","year":2014,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Position (finance); Fishing; European union; Soviet union; Commercial fishing; Trade union","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":[0.0006923526,0.0005856106,0.0003339091,0.001064741,0.00840404,0.004268093,0.0009539188,0.004594869,0.06450322],"category_scores_gemma":[0.001356549,0.0004535922,0.0002297068,0.002880156,0.001346878,0.002448516,0.001888068,0.004485829,0.02071265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007509743,"about_ca_system_score_gemma":0.01296915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2813338,"about_ca_topic_score_gemma":0.5425771,"domain_scores_codex":[0.9993122,0.00007990356,0.00004269887,0.0001022811,0.0002476143,0.0002152842],"domain_scores_gemma":[0.9990999,0.0001563641,0.00007714644,0.00003671947,0.0003558612,0.0002740034],"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":[0.000005360453,0.00001301097,0.000120197,0.00005312439,6.501691e-7,0.00005289004,0.0001634452,0.00000628836,0.00003871149,0.001660276,0.9886082,0.009277773],"study_design_scores_gemma":[0.000001596997,0.000001368248,0.001106207,0.00007824344,5.057725e-7,0.00001608893,0.0004353569,0.000005837893,0.000009282822,0.0001320626,0.9982108,0.000002646361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002200991,0.201581,0.000129947,0.2499108,0.06983542,0.00007742746,0.001366321,0.000171324,0.4747268],"genre_scores_gemma":[0.01134396,0.04061511,0.0001521799,0.05430849,0.01122504,0.0001865896,0.0007649483,0.00008567349,0.881318],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2813338,"threshold_uncertainty_score":0.5593925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004483591066321356,"score_gpt":0.1505936325927152,"score_spread":0.1461100415263938,"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."}}