{"id":"W2477874061","doi":"10.1017/cbo9780511814525.009","title":"Interpolating linear operators","year":2009,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Mathematics; Computer science","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":[0.0006223874,0.0006018241,0.0005610671,0.0009280029,0.0004440258,0.0009751223,0.0005838853,0.0005720693,0.02882152],"category_scores_gemma":[0.001183947,0.0003161441,0.0006673962,0.001133115,0.0007985396,0.00167421,0.001522314,0.001975605,0.009255897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004667724,"about_ca_system_score_gemma":0.0004883233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000537428,"about_ca_topic_score_gemma":0.0007313605,"domain_scores_codex":[0.9997326,0.00005654066,0.0000116463,0.00004593782,0.0001294334,0.00002388285],"domain_scores_gemma":[0.9997479,0.0001053383,0.000009670735,0.00006035863,0.00005619989,0.00002046869],"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":[0.00007889745,0.00002995881,0.000173138,0.0004152308,0.0000260617,0.00008517947,0.0002325285,0.008420803,0.006469575,0.6639292,0.05505515,0.2650844],"study_design_scores_gemma":[0.00002083997,0.00009274956,0.0004579631,0.0002358197,0.00002762564,0.0003848765,0.0001049184,0.06180249,0.009369216,0.5730125,0.3544535,0.00003751172],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007684509,0.0120526,0.7401245,0.0009673163,0.002466962,0.00005263033,0.0005374113,0.001537226,0.2345769],"genre_scores_gemma":[0.1652269,0.01763571,0.3312739,0.0007903496,0.0015933,0.0001836815,0.001484076,0.002236469,0.4795755],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02882152,"threshold_uncertainty_score":0.09641761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01610807207576165,"score_gpt":0.2026908556154127,"score_spread":0.1865827835396511,"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."}}