{"id":"W6893238064","doi":"10.5281/zenodo.15314329","title":"Keçeci Layout","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association of Physicists","funders":"","keywords":"Zigzag; Visualization; Graph; Graph drawing; Graph Layout; Offset (computer science); Python (programming language); Identifier","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001699925,0.001941061,0.001393458,0.003468549,0.002162501,0.00667905,0.003944507,0.002387148,0.5913352],"category_scores_gemma":[0.01131766,0.001051338,0.00132257,0.003408858,0.001015194,0.005761946,0.006276692,0.002515343,0.3776972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002056663,"about_ca_system_score_gemma":0.004621692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002432561,"about_ca_topic_score_gemma":0.003287069,"domain_scores_codex":[0.9982833,0.0002167911,0.0001189914,0.0003698886,0.0007837796,0.0002273459],"domain_scores_gemma":[0.9946678,0.0007182817,0.0002377352,0.001148792,0.002363029,0.0008643302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001936186,0.00004048581,0.000533822,0.0004833608,0.00001951868,0.0002120476,0.0001423897,0.001025999,0.001355312,0.01447292,0.8826488,0.09887188],"study_design_scores_gemma":[0.0000289716,0.00001615915,0.0003801548,0.0001092077,0.00001251416,0.000248851,0.00007914178,0.001247558,0.001446393,0.005579897,0.990818,0.00003309147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003925009,0.002589737,0.1286187,0.007245751,0.007009685,0.0007779467,0.07548005,0.2748224,0.4995306],"genre_scores_gemma":[0.05638049,0.003558213,0.1118586,0.004902896,0.001425346,0.001843527,0.1109859,0.1317315,0.5773135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5913352,"threshold_uncertainty_score":0.5829107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03546159851422611,"score_gpt":0.2865200474942355,"score_spread":0.2510584489800094,"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."}}