{"id":"W4242999368","doi":"10.1007/978-1-4614-6170-8_100695","title":"Principal Component Method","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Physics and Engineering Research Articles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Component (thermodynamics); Principal component analysis; Computer science; Artificial intelligence; Physics","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":[0.001215351,0.002180162,0.001575437,0.002241755,0.0009213313,0.003028536,0.001769576,0.001427142,0.04165838],"category_scores_gemma":[0.003259266,0.0009581415,0.00129685,0.002630648,0.0008968159,0.00229561,0.001883416,0.002236702,0.04719991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004428905,"about_ca_system_score_gemma":0.00155299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001931418,"about_ca_topic_score_gemma":0.002338432,"domain_scores_codex":[0.9987317,0.0002767898,0.0000496086,0.0003498848,0.0005205141,0.00007150106],"domain_scores_gemma":[0.9988431,0.0003303185,0.00004705402,0.0003169047,0.0004136114,0.00004904435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006267946,0.00005016064,0.0002664165,0.0002549051,0.00008500968,0.00004582413,0.0000486527,0.01177942,0.003995297,0.04302372,0.06688699,0.8735009],"study_design_scores_gemma":[0.00004475104,0.00008731347,0.002115058,0.0002231499,0.0001748281,0.000579378,0.0001193764,0.4084515,0.01809836,0.1548895,0.4150788,0.0001379891],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004182868,0.0009718079,0.9841051,0.0001664393,0.0003253754,0.00004890422,0.0002946597,0.002042606,0.01162683],"genre_scores_gemma":[0.01922465,0.003121017,0.8839304,0.0003189567,0.0005701314,0.0002749033,0.002547717,0.002659939,0.08735222],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04165838,"threshold_uncertainty_score":0.1393611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970502456862153,"score_gpt":0.2444268991502563,"score_spread":0.2247218745816347,"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."}}