{"id":"W6960953090","doi":"10.14288/1.0357111","title":"Across Canada : Eastern Lines","year":2017,"lang":"en","type":"article","venue":"Open Collections","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Line (geometry); Pacific Rim; Population; Identification (biology)","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":[0.0005538817,0.0009348926,0.0006188839,0.004898986,0.007350132,0.002838711,0.001525674,0.0004895304,0.1578872],"category_scores_gemma":[0.0009729323,0.0005552983,0.0003388219,0.0141075,0.0006854851,0.0008896082,0.001023472,0.001093536,0.05299569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01620534,"about_ca_system_score_gemma":0.04439157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9847413,"about_ca_topic_score_gemma":0.9961632,"domain_scores_codex":[0.9994745,0.00002489649,0.00002741727,0.00008646232,0.0002531504,0.0001336371],"domain_scores_gemma":[0.9982263,0.00004736912,0.0000574196,0.00007126589,0.00138949,0.0002079548],"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":[0.0000414665,0.00002081355,0.00271691,0.0002864222,0.000007427695,0.000146385,0.001120942,0.0001342698,0.0008126036,0.002665604,0.9212443,0.07080293],"study_design_scores_gemma":[0.000003218494,0.000004648704,0.01289941,0.00008888968,0.000006130089,0.00007733047,0.0009033858,0.00002539541,0.0001447319,0.0001756005,0.9856567,0.00001455565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01161918,0.01099081,0.005389529,0.002045486,0.001359309,0.0005703204,0.5289861,0.002203487,0.4368358],"genre_scores_gemma":[0.02193478,0.009152681,0.0131588,0.0008385809,0.000103779,0.0003164433,0.2543575,0.001350172,0.6987873],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1578872,"threshold_uncertainty_score":0.5281852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03922484607573717,"score_gpt":0.2755076008338004,"score_spread":0.2362827547580632,"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."}}