{"id":"W4307405281","doi":"10.1002/cjs.11738","title":"Variation pattern classification of functional data","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Discriminative model; Pattern recognition (psychology); Artificial intelligence; Consistency (knowledge bases); Feature (linguistics); Mathematics; Moment (physics); Computer science; Basis (linear algebra); Dimensionality reduction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002768856,0.000563133,0.001037975,0.003504756,0.0004073164,0.001218579,0.001116425,0.0009372574,0.001346036],"category_scores_gemma":[0.01078501,0.0002155869,0.001014848,0.002544788,0.001026846,0.001099883,0.0009544151,0.001219036,0.0004133843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007918903,"about_ca_system_score_gemma":0.000599649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001841242,"about_ca_topic_score_gemma":0.001021377,"domain_scores_codex":[0.9973399,0.0007482666,0.0002678214,0.0006290314,0.0008185781,0.0001963823],"domain_scores_gemma":[0.9948224,0.002323784,0.0005116275,0.0008923837,0.00128146,0.0001682777],"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":[0.0004186119,0.0001533942,0.01550752,0.0002718594,0.0002351794,0.0002542185,0.0001764046,0.1113877,0.02145732,0.02480944,0.005256562,0.8200717],"study_design_scores_gemma":[0.000009672134,0.00006121652,0.005374518,0.00001429563,0.00001477551,0.0001164472,0.00002437425,0.9776433,0.002571679,0.01255369,0.001590513,0.00002540859],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03329095,0.0002294075,0.964514,0.0002085387,0.00007278297,0.00008657281,0.0003469213,0.0006027856,0.0006481256],"genre_scores_gemma":[0.607726,0.0001889786,0.3884084,0.0001212476,0.0001690481,0.0002654086,0.001674234,0.0001632855,0.001283427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003504756,"threshold_uncertainty_score":0.01464331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1343620250027681,"score_gpt":0.2528663595170054,"score_spread":0.1185043345142373,"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."}}