{"id":"W2583413532","doi":"10.6084/m9.figshare.4620271.v1","title":"Enforcing Shape Constraints on a Probability Density Estimate Using an Additive Adjustment Curve","year":2017,"lang":"en","type":"article","venue":"Figshare","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Unimodality; Estimator; Monotonic function; Mathematical optimization; Inflection point; Quadratic equation; Mathematics; Quadratic programming; Constraint (computer-aided design); Variety (cybernetics); Symmetry (geometry); Computer science; Applied mathematics; Algorithm; Statistics; Geometry; Mathematical analysis","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":[0.004562169,0.001535186,0.001267578,0.00173911,0.0008118536,0.001893781,0.002405395,0.001485795,0.004495022],"category_scores_gemma":[0.02121384,0.001189691,0.00151798,0.001458783,0.001476682,0.002246042,0.003267066,0.002839358,0.002157478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003549,"about_ca_system_score_gemma":0.002097607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003925323,"about_ca_topic_score_gemma":0.003003309,"domain_scores_codex":[0.9971194,0.0008206222,0.0001658824,0.0005092713,0.001220077,0.0001647519],"domain_scores_gemma":[0.993726,0.003387261,0.0005152155,0.001104608,0.001152096,0.0001149019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001877486,0.0001054915,0.001589781,0.0002785275,0.0001140337,0.0002031181,0.0002875216,0.4508535,0.02971798,0.07744034,0.003895069,0.4353269],"study_design_scores_gemma":[0.00001674273,0.00006765631,0.0004116542,0.00003355065,0.00001741101,0.0001028107,0.00001758364,0.9731972,0.0089372,0.01142727,0.00571801,0.00005286666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007218242,0.00002298289,0.9986591,0.0000200515,0.000009891892,0.00001641054,0.000007284356,0.000233222,0.0003092175],"genre_scores_gemma":[0.0572513,0.0001263213,0.9402779,0.00006927912,0.00004024451,0.0001665987,0.00009695796,0.0005121471,0.001459291],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004562169,"threshold_uncertainty_score":0.02412736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06165257551254066,"score_gpt":0.2827164277546377,"score_spread":0.221063852242097,"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."}}