{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001036507,0.0006458822,0.0004672791,0.002340433,0.007084887,0.003694318,0.001280388,0.002149106,0.3135682],"category_scores_gemma":[0.003602401,0.0005225809,0.0004393311,0.002502973,0.0005142559,0.001165976,0.00121997,0.002110963,0.08415509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0181297,"about_ca_system_score_gemma":0.0518665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9279202,"about_ca_topic_score_gemma":0.9669588,"domain_scores_codex":[0.9984819,0.00003545254,0.00002711561,0.00007261941,0.001173025,0.0002098467],"domain_scores_gemma":[0.9969451,0.00008775073,0.00004696698,0.0001062831,0.002397046,0.0004169334],"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":[0.00001255714,0.000009280799,0.0001810042,0.00002486598,0.000001439501,0.00002092203,0.00005153431,0.00002889876,0.00004991715,0.004379775,0.9820019,0.0132379],"study_design_scores_gemma":[0.000002791814,0.000002296302,0.0007392287,0.00001902289,0.000001333907,0.000009935604,0.00007173284,0.00002633774,0.00003105165,0.0001645488,0.9989263,0.000005449618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001682169,0.002751856,0.000424633,0.01588887,0.002481031,0.0002825198,0.01770621,0.0006033615,0.9581794],"genre_scores_gemma":[0.002719762,0.0008218347,0.00034726,0.0008335047,0.0000781167,0.00003553288,0.002169806,0.00008403981,0.9929102],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3135682,"threshold_uncertainty_score":0.9791116,"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."}}