{"id":"W4324283457","doi":"10.1007/978-3-031-06440-1_1","title":"Introduction","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Tensor decomposition and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Scope (computer science); Political science; Section (typography); Business; Geography; Computer science; Advertising","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":[0.0004388374,0.0009847259,0.0005913628,0.00198714,0.001199768,0.003272788,0.001295633,0.00121063,0.4194122],"category_scores_gemma":[0.001467088,0.0003751676,0.0005077711,0.001735742,0.0006421143,0.003093597,0.001753381,0.002005073,0.3335966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001271829,"about_ca_system_score_gemma":0.001408965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00192887,"about_ca_topic_score_gemma":0.003830427,"domain_scores_codex":[0.9996027,0.00004821653,0.0000140315,0.00007946788,0.0002158291,0.00003971259],"domain_scores_gemma":[0.9995097,0.00007146743,0.00001943085,0.00007530532,0.0002443376,0.00007973132],"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":[0.00001693244,0.00003608529,0.00005981607,0.000181631,0.000002411542,0.00003344446,0.000116926,0.0002296894,0.0004293706,0.08215404,0.7656565,0.1510832],"study_design_scores_gemma":[9.841555e-7,0.000003817346,0.00004378515,0.00005566915,8.332696e-7,0.000026813,0.00002375903,0.00003780485,0.00007119698,0.008654699,0.9910784,0.000002199359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003119767,0.003609026,0.006676584,0.001698494,0.004238004,0.00007583891,0.001056695,0.0005274631,0.9818059],"genre_scores_gemma":[0.001067976,0.001960411,0.001627267,0.0005264308,0.0008314123,0.00004138875,0.0007053734,0.0002140548,0.9930257],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4194122,"threshold_uncertainty_score":0.8281381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06770331474931003,"score_gpt":0.3123174812624067,"score_spread":0.2446141665130966,"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."}}