{"id":"W7065557294","doi":"","title":"ERIC ED537209: Methods to Find the Number of Latent Skills","year":2012,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Singular value decomposition; Set (abstract data type); Latent semantic analysis; Fraction (chemistry); Latent variable; Latent variable model; Simple (philosophy)","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":[0.005525949,0.001934451,0.001325669,0.004919452,0.001045092,0.001959858,0.003159085,0.002592139,0.02631819],"category_scores_gemma":[0.02233786,0.0008893471,0.002006367,0.004050287,0.0008640754,0.002335323,0.002399124,0.001947514,0.01400548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008862916,"about_ca_system_score_gemma":0.001820143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004407156,"about_ca_topic_score_gemma":0.005040354,"domain_scores_codex":[0.9969475,0.001349515,0.0001926586,0.0006605039,0.00072017,0.0001296726],"domain_scores_gemma":[0.9907035,0.006210374,0.0004340937,0.001352785,0.001151646,0.0001476394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002327938,0.0001630202,0.004660835,0.0003692335,0.0002209374,0.0001346773,0.0001807304,0.02259422,0.00154997,0.02859632,0.04269363,0.8986036],"study_design_scores_gemma":[0.0002483241,0.0001253052,0.00534681,0.0003520704,0.0001542105,0.0007015478,0.0002228648,0.6904288,0.008878296,0.1877648,0.1056432,0.0001338543],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00197805,0.0006194211,0.9894137,0.0002709914,0.0001034184,0.0001318933,0.001390987,0.003055688,0.003035814],"genre_scores_gemma":[0.03128228,0.0005035153,0.9491844,0.0003670446,0.0001253604,0.0006339299,0.00460344,0.0008972313,0.01240275],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02631819,"threshold_uncertainty_score":0.08804315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005595078195365593,"score_gpt":0.2403274700094425,"score_spread":0.234732391814077,"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."}}