{"id":"W7099887853","doi":"","title":"Using Latent Semantic Analysis","year":2003,"lang":"en","type":"article","venue":"","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latent semantic analysis; Coherence (philosophical gambling strategy); Similarity (geometry); Semantic similarity; Semantics (computer science); Semantic analysis (machine learning); Probabilistic latent semantic analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006522452,0.002124861,0.001537537,0.008938208,0.001031797,0.004443721,0.001385489,0.001906362,0.004690955],"category_scores_gemma":[0.01771303,0.0007198629,0.002478649,0.005632813,0.001098073,0.006404528,0.002566154,0.002134566,0.001989729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001445363,"about_ca_system_score_gemma":0.002174553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004387202,"about_ca_topic_score_gemma":0.004683231,"domain_scores_codex":[0.9936745,0.003252822,0.0004359056,0.00114067,0.001242756,0.0002533447],"domain_scores_gemma":[0.988264,0.008446525,0.001045997,0.001121386,0.0009624296,0.0001596339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004045319,0.0003462158,0.008148753,0.000833949,0.0007783466,0.0003286962,0.0008957754,0.09741849,0.004812329,0.10413,0.01768645,0.7642165],"study_design_scores_gemma":[0.00007063319,0.0001017875,0.001947066,0.0001425112,0.0001849068,0.00015234,0.0003083437,0.7736964,0.002387231,0.2103218,0.01059287,0.00009417493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005840654,0.0009176698,0.9888918,0.0005299305,0.00005672545,0.000100131,0.000839319,0.001301645,0.001522126],"genre_scores_gemma":[0.2609369,0.001977403,0.7255155,0.000280234,0.0004186503,0.0004940581,0.006863577,0.0003414335,0.003172167],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008938208,"threshold_uncertainty_score":0.0344944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02682177138820234,"score_gpt":0.2319218464119039,"score_spread":0.2051000750237015,"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."}}