{"id":"W4416562028","doi":"","title":"Sparse DiSTATIS on categorical data","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"","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":[0.007440861,0.00114438,0.002765638,0.002818053,0.0008443519,0.002287226,0.002920835,0.002120354,0.006642862],"category_scores_gemma":[0.05374772,0.0009419727,0.002246353,0.004867567,0.002566387,0.003970603,0.005773181,0.005176903,0.002182693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514418,"about_ca_system_score_gemma":0.002171325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004075569,"about_ca_topic_score_gemma":0.004720268,"domain_scores_codex":[0.9919819,0.003285638,0.0006312137,0.001650555,0.002091207,0.0003594687],"domain_scores_gemma":[0.9301259,0.05575695,0.002167751,0.007630425,0.003322783,0.000996322],"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":[0.0004909372,0.0001905331,0.003850771,0.0008179693,0.0002192537,0.000303574,0.0003683973,0.2728775,0.003816472,0.1180314,0.02199991,0.5770332],"study_design_scores_gemma":[0.00002219333,0.00009409142,0.0007581913,0.00005892939,0.00002035003,0.0001310079,0.00005430481,0.8040863,0.0008035967,0.1905182,0.003429989,0.00002279546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00583808,0.0003612114,0.9906109,0.0009698899,0.00009817513,0.00006413295,0.0009816703,0.0005630838,0.0005129096],"genre_scores_gemma":[0.2918895,0.002165056,0.6754959,0.001702668,0.001949924,0.001109484,0.01132997,0.0005701309,0.01378739],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007440861,"threshold_uncertainty_score":0.03935152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07276981324992898,"score_gpt":0.2849996704299239,"score_spread":0.2122298571799949,"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."}}