{"id":"W2139492976","doi":"10.1002/cem.1171","title":"The PLS model space revisited","year":2008,"lang":"en","type":"article","venue":"Journal of Chemometrics","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Space (punctuation); Latent variable; Mathematics; Applied mathematics; Variable (mathematics); Computer science; Algorithm; Statistics; 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":[0.01318786,0.00194242,0.001534802,0.002145251,0.001101628,0.004796678,0.003159713,0.002275008,0.005816594],"category_scores_gemma":[0.02156846,0.0007373576,0.001758684,0.003389353,0.005346526,0.004295442,0.004189111,0.00683668,0.001816294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002120544,"about_ca_system_score_gemma":0.002478493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004212879,"about_ca_topic_score_gemma":0.002532438,"domain_scores_codex":[0.988333,0.008215335,0.0001856234,0.001110753,0.001943207,0.0002120743],"domain_scores_gemma":[0.9913312,0.005835713,0.0004270272,0.001032777,0.001196383,0.0001768749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000044456,0.0000297715,0.0009616935,0.0002121504,0.0002331637,0.0001223929,0.0002476711,0.04243804,0.0001929649,0.8859906,0.01093604,0.05859106],"study_design_scores_gemma":[0.00001512855,0.00002738201,0.0003087578,0.00005800659,0.00002186883,0.00008580997,0.00007351962,0.1297727,0.0002206214,0.8569142,0.01247567,0.00002633438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008959023,0.007237343,0.9488646,0.01759754,0.0005761719,0.00006795659,0.0003684898,0.0004346992,0.01589419],"genre_scores_gemma":[0.6368013,0.01159857,0.3178188,0.005412541,0.002675993,0.0006581251,0.0008641887,0.0006738413,0.02349652],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01318786,"threshold_uncertainty_score":0.06974488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0309842066126086,"score_gpt":0.2759892706595332,"score_spread":0.2450050640469246,"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."}}