{"id":"W4200105747","doi":"10.1017/9781108377447.029","title":"Appendices","year":2021,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; World Wide Web; Database","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005892279,0.001227892,0.001188011,0.005147927,0.001404512,0.003086027,0.001249227,0.001014472,0.7738751],"category_scores_gemma":[0.00908129,0.000455761,0.0006996461,0.004453423,0.0003937574,0.0024308,0.001954535,0.001998821,0.6674621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001277448,"about_ca_system_score_gemma":0.001491135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003092241,"about_ca_topic_score_gemma":0.004396029,"domain_scores_codex":[0.9993383,0.00006446092,0.00006503257,0.0001167469,0.0003724994,0.0000428412],"domain_scores_gemma":[0.9956402,0.0009483495,0.0002464209,0.0004093612,0.002349189,0.0004065288],"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":[0.00001504175,0.00001812455,0.00004186843,0.0001787406,0.000001979499,0.00003891188,0.00001844416,0.00009619023,0.00009086088,0.002320932,0.9560521,0.04112677],"study_design_scores_gemma":[0.000003204625,0.000008229402,0.00011204,0.0001125418,0.000001649005,0.00007876194,0.00001395629,0.00002586644,0.00005082877,0.001641796,0.9979468,0.000004380567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008932721,0.01420198,0.00804361,0.008591218,0.03268439,0.0006799512,0.05106545,0.00446842,0.8793717],"genre_scores_gemma":[0.001836312,0.006594501,0.002765135,0.002021662,0.003912868,0.0002515422,0.02355923,0.001258745,0.9577999],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2261249,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199892516320628,"score_gpt":0.1821325740731659,"score_spread":0.1621433224411031,"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."}}