{"id":"W6923854788","doi":"10.14288/1.0376546","title":"[Miscellaneous correspondence]","year":2019,"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":"Variety (cybernetics); Work (physics); Compensation (psychology); Endowment; Spring (device)","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":[0.0008432404,0.0009872472,0.001061475,0.003731958,0.005842775,0.003769965,0.002798025,0.002597473,0.8485563],"category_scores_gemma":[0.01403037,0.0006831634,0.0005436062,0.009081887,0.0006119381,0.002062348,0.00165614,0.002073571,0.7104061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005654107,"about_ca_system_score_gemma":0.009899479,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2073954,"about_ca_topic_score_gemma":0.2322713,"domain_scores_codex":[0.9984418,0.0001104472,0.00009436139,0.0002294851,0.0007344273,0.0003895176],"domain_scores_gemma":[0.9899691,0.00123362,0.0002882366,0.0007043687,0.006938762,0.0008660016],"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":[0.000003085691,0.000002597062,0.00002776436,0.00002145214,2.473547e-7,0.00000948351,0.00001257263,0.000003181107,0.000007374686,0.0002279572,0.9956645,0.004019749],"study_design_scores_gemma":[0.00001026223,0.000004022557,0.0006786788,0.00007389805,9.74674e-7,0.00001877459,0.00007636535,0.00001193436,0.00002318202,0.0001507069,0.9989448,0.000006424983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003185543,0.0005813615,0.0003060289,0.01196365,0.01075961,0.0005049619,0.0655077,0.002019688,0.9080384],"genre_scores_gemma":[0.00228415,0.0008218637,0.0002980081,0.006431811,0.001595797,0.0005281536,0.02237158,0.0005885064,0.9650801],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8485563,"threshold_uncertainty_score":0.4123765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222969198399002,"score_gpt":0.248546345819033,"score_spread":0.2363166538350429,"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."}}