{"id":"W38648097","doi":"10.2196/53241","title":"Nobelprize.org eductaional material","year":2011,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Tensor decomposition and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0005583286,0.0001008354,0.0001345372,0.0001850012,0.0003110905,0.00003888604,0.0003038927,0.00006903192,0.0041417],"category_scores_gemma":[0.00004159132,0.00008397202,0.00006058767,0.0003090757,0.0001937492,0.00024211,0.0001555592,0.0003090558,0.001939412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006677885,"about_ca_system_score_gemma":0.00005508287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001306285,"about_ca_topic_score_gemma":0.00000228388,"domain_scores_codex":[0.9985566,0.0001559473,0.000256522,0.0001600556,0.0004968977,0.0003740229],"domain_scores_gemma":[0.9990352,0.0001600768,0.00005811139,0.0003056795,0.000313158,0.0001278058],"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":[0.0001088737,0.000866308,0.0002328431,0.00007685038,0.00003564082,0.000004904109,0.01135304,2.63704e-8,0.01033111,0.9087687,0.06703641,0.001185303],"study_design_scores_gemma":[0.001000196,0.0003825969,0.03662828,0.00007540185,0.000009897541,0.00006088191,0.003122276,0.00009168858,0.08640252,0.8315857,0.04022793,0.0004126539],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8995312,0.000003613245,0.0005082974,0.0004446162,0.0001145054,0.0004967345,0.00007733017,0.0001209136,0.09870276],"genre_scores_gemma":[0.9937152,0.000004863629,0.004262695,0.00004006119,0.000142498,0.0003925204,0.00002498438,0.00001918474,0.001398051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0973047,"threshold_uncertainty_score":0.9988377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2483714833617141,"score_gpt":0.4781240633018735,"score_spread":0.2297525799401594,"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."}}