{"id":"W4381802355","doi":"10.20982/tqmp.19.2.p173","title":"Analysis of frequency data: The ANOFA framework","year":2023,"lang":"en","type":"article","venue":"The Quantitative Methods for Psychology","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science","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":[0.05053007,0.0028374,0.002671463,0.0129298,0.002274346,0.009729426,0.005712701,0.003221181,0.01434124],"category_scores_gemma":[0.1416139,0.001179126,0.004432122,0.008284649,0.007867069,0.008026863,0.006319842,0.006205245,0.005533338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002195005,"about_ca_system_score_gemma":0.004792694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002964702,"about_ca_topic_score_gemma":0.001979268,"domain_scores_codex":[0.9584622,0.02547404,0.002500989,0.004326718,0.008702919,0.0005331367],"domain_scores_gemma":[0.8880659,0.0836016,0.006535687,0.009886873,0.01069368,0.0012161],"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":[0.0001326121,0.0001487964,0.002179315,0.001198243,0.0003346274,0.0002669871,0.001300012,0.00728334,0.002236418,0.7512041,0.00951183,0.2242037],"study_design_scores_gemma":[0.00004219889,0.0001851097,0.001985773,0.0005817155,0.0001267979,0.0004783487,0.0004372268,0.0398012,0.0009595985,0.8934188,0.06186447,0.0001187361],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006300917,0.0005612726,0.9940819,0.0004765012,0.0001638803,0.00017277,0.0003409602,0.0003736012,0.003199056],"genre_scores_gemma":[0.01541929,0.0009221226,0.9790157,0.0004621467,0.0003965368,0.001818187,0.0004248458,0.0003298808,0.001211307],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05053007,"threshold_uncertainty_score":0.2672317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3355609399865986,"score_gpt":0.5959764391506407,"score_spread":0.2604154991640421,"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."}}