{"id":"W6961007625","doi":"10.14288/1.0356991","title":"Canadian Pacific Express pension plan","year":2017,"lang":"en","type":"article","venue":"Open Collections","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Pension plan; Pension; Government (linguistics); Work (physics)","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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00006845251,0.00006428207,0.00006542393,0.00001935692,0.004858527,0.001154406,0.0004152674,0.00006713315,0.0002996663],"category_scores_gemma":[0.00003970988,0.00006372794,0.00002966395,0.00002738233,0.00002997568,0.000004473156,0.0001878354,0.00003844949,0.00001921108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001136999,"about_ca_system_score_gemma":0.0001560427,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2511164,"about_ca_topic_score_gemma":0.1966811,"domain_scores_codex":[0.9995483,0.00001437399,0.00005571833,0.0001847199,0.00004274353,0.0001541412],"domain_scores_gemma":[0.9994211,0.000002658991,0.00003785528,0.0003630405,0.00004133564,0.0001340676],"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":[0.00002019572,0.00001907796,0.001711223,0.000001775597,0.00001988512,0.000005915452,0.00002361119,0.00001086165,0.01053488,0.00002336255,0.9873639,0.0002653314],"study_design_scores_gemma":[0.0003046803,0.00008585637,0.002945331,0.00001000438,0.000009303193,0.00002013773,0.0002835677,0.00002287316,0.003891086,0.00009867446,0.9921957,0.000132767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03553382,0.00002953613,0.00005788889,0.0005125979,0.0003548046,0.0002003983,0.0001882177,0.000005410825,0.9631173],"genre_scores_gemma":[0.6507133,0.00004834486,0.0002437497,0.00008132708,0.00007756812,0.000008620072,0.00005257176,0.000004205176,0.3487703],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6151795,"threshold_uncertainty_score":0.9998825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596273265301766,"score_gpt":0.2458598259323478,"score_spread":0.2198970932793302,"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."}}