{"id":"W2728998297","doi":"","title":"Universal updates for symmetric lenses","year":2017,"lang":"en","type":"article","venue":"","topic":"Mathematics and Applications","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Allison University","funders":"","keywords":"Computer science; Optometry; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001427395,0.001081609,0.0009934627,0.002421206,0.001943677,0.003442927,0.001235974,0.001386397,0.01707321],"category_scores_gemma":[0.007556916,0.0005259292,0.0008919571,0.001156804,0.002803889,0.008635188,0.004467453,0.003514054,0.001505343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708,"about_ca_system_score_gemma":0.0008536486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001608457,"about_ca_topic_score_gemma":0.001772825,"domain_scores_codex":[0.9986524,0.0002680153,0.00007549762,0.0003194109,0.000415317,0.000269347],"domain_scores_gemma":[0.9976062,0.0008735492,0.0002758327,0.0004069695,0.0004873096,0.0003501112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002908632,0.00001298129,0.0001149679,0.00002923513,0.000006237402,0.00002848805,0.00008236578,0.0005518963,0.0003362241,0.9873797,0.001935569,0.009493294],"study_design_scores_gemma":[0.00001191849,0.00001195288,0.000101973,0.00001149122,0.000008096918,0.00004321486,0.00004072087,0.004920532,0.0004258857,0.9899587,0.004454856,0.00001069037],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2039077,0.004035811,0.6033286,0.004764886,0.002018551,0.0001398294,0.0009872493,0.001518841,0.1792984],"genre_scores_gemma":[0.8502391,0.00250643,0.06047787,0.001949069,0.001792536,0.0001690288,0.0008202727,0.0008496906,0.08119599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01707321,"threshold_uncertainty_score":0.05711561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1357066710817341,"score_gpt":0.3855849014646479,"score_spread":0.2498782303829138,"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."}}