{"id":"W7118019666","doi":"10.1145/3712285.3787185","title":"10.1145/3712285.3787185","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Tensor decomposition and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Computation; Tensor (intrinsic definition); Matrix (chemical analysis); Sparse matrix; Sparse approximation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006299299,0.00008797883,0.0001139296,0.00003845198,0.00007927261,0.00002929444,0.0001475789,0.00003834569,0.9937813],"category_scores_gemma":[0.00001740584,0.00008636736,0.00005016864,0.0001450404,0.00001643212,0.00003852073,0.00001671722,0.00005748864,0.9854677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001817909,"about_ca_system_score_gemma":0.000008743329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002761335,"about_ca_topic_score_gemma":6.748056e-8,"domain_scores_codex":[0.9994212,0.00001790988,0.0001531979,0.000146849,0.0001108717,0.0001499032],"domain_scores_gemma":[0.9994478,0.00007482767,0.00002252979,0.00031504,0.00003238183,0.0001074392],"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":[0.00001706055,0.0001475881,6.373535e-8,0.000005843279,0.00001244873,0.000001647622,0.00002674734,0.0000107732,0.0002679109,0.0008207781,0.7502822,0.2484069],"study_design_scores_gemma":[0.0001411489,0.0000279635,0.00001728828,0.000007642838,0.00001400548,0.000007862084,8.661101e-7,0.0001326301,0.0001701712,0.001991699,0.9973756,0.0001131437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002646261,0.000006169839,0.00002418597,0.001016728,9.470574e-7,0.0001998435,0.00001938934,0.0002563875,0.9958301],"genre_scores_gemma":[0.0005584329,1.33409e-7,0.003698695,0.0001425392,0.00006577898,0.00004626135,0.00001177224,0.00002039578,0.995456],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2482938,"threshold_uncertainty_score":0.3521959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918230205639532,"score_gpt":0.2524291184429888,"score_spread":0.2332468163865934,"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."}}