{"id":"W3195567601","doi":"10.1002/sam.11543","title":"Parallel coordinate order for<scp>high‐dimensional</scp>data","year":2021,"lang":"en","type":"article","venue":"Statistical Analysis and Data Mining The ASA Data Science Journal","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Parallel coordinates; Computer science; Visualization; Coordinate descent; Data mining; Dimension (graph theory); Data visualization; Data structure; Theoretical computer science; Algorithm; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008981525,0.0002530801,0.0006252759,0.00007098843,0.002202709,0.001508936,0.005208759,0.00007100662,0.0005189924],"category_scores_gemma":[0.02075888,0.0000923381,0.00006860676,0.003092227,0.001005522,0.001424574,0.004825609,0.0003527838,0.00001103318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001621962,"about_ca_system_score_gemma":0.0001617792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002388038,"about_ca_topic_score_gemma":0.0008884701,"domain_scores_codex":[0.9954311,0.0004718402,0.000723294,0.001635414,0.001023357,0.0007149424],"domain_scores_gemma":[0.9891897,0.007562738,0.0003271495,0.001782677,0.000618469,0.0005192871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009905051,0.0005670072,0.01817366,0.0000256834,0.00264143,0.0003384849,0.0001594424,0.0003502852,0.0108433,0.03205505,0.1299014,0.8048452],"study_design_scores_gemma":[0.0004342113,0.0001950581,0.183729,0.00003164138,0.004056766,0.0002472892,0.00230917,0.7490188,0.00006350553,0.0123742,0.04719809,0.0003423215],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.184631,0.00114717,0.7387969,0.008207059,0.0004431681,0.0002333741,0.06628105,0.00003962998,0.0002206321],"genre_scores_gemma":[0.1934006,0.0005573209,0.7772787,0.001274923,0.0006078321,0.000003832513,0.0265487,0.000004265388,0.000323863],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8045028,"threshold_uncertainty_score":0.9995276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1347123595111435,"score_gpt":0.3734952579050034,"score_spread":0.2387828983938599,"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."}}