{"id":"W2089707262","doi":"10.1002/cem.808","title":"Shifted factor analysis—Part I: Models and properties","year":2003,"lang":"en","type":"article","venue":"Journal of Chemometrics","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Factor analysis; Uniqueness; Factor (programming language); Representation (politics); Set (abstract data type); Sequence (biology); Position (finance); Principal component analysis; Computer science; Mathematics; Algorithm; Econometrics; Artificial intelligence; Mathematical analysis","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":[0.009274903,0.00157935,0.001356692,0.001976368,0.0007743015,0.002792489,0.001713409,0.001816859,0.004982671],"category_scores_gemma":[0.02981862,0.0008315297,0.002816857,0.00251249,0.003412472,0.00509813,0.002159117,0.00233526,0.001566252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493628,"about_ca_system_score_gemma":0.001203656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004341051,"about_ca_topic_score_gemma":0.00189256,"domain_scores_codex":[0.9959642,0.002191227,0.0001549522,0.0008386961,0.0006379804,0.0002130638],"domain_scores_gemma":[0.9861748,0.008778279,0.001625591,0.001665947,0.001519203,0.0002360711],"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":[0.00006931198,0.00005059249,0.004034155,0.0002804673,0.0002832545,0.0002007783,0.00056345,0.2416125,0.001248783,0.6727527,0.004117423,0.07478637],"study_design_scores_gemma":[0.000009650154,0.00003153491,0.0007469857,0.00005967035,0.00002564956,0.00009634711,0.00005268853,0.5386153,0.0002054639,0.4580311,0.002093917,0.00003150632],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01833369,0.001166932,0.9767954,0.0007177666,0.00006426625,0.00005892388,0.000191003,0.0002027558,0.002469205],"genre_scores_gemma":[0.6728711,0.003457086,0.313234,0.0004458081,0.000388648,0.0006634016,0.00096639,0.0003757197,0.007597829],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009274903,"threshold_uncertainty_score":0.04905093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0586618537725024,"score_gpt":0.2713634106343817,"score_spread":0.2127015568618793,"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."}}