{"id":"W3130492912","doi":"","title":"Fused Spatial Point Process IntensityEstimation on Complex Domains","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Point processes and geometric inequalities","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Point process; Computer science; Estimator; Computation; Algorithm; Data mining; Regularization (linguistics); Spatial analysis; Process (computing); Mathematical optimization; Mathematics; Statistics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002472172,0.0007197233,0.0009620938,0.001062629,0.000257912,0.001149212,0.00133857,0.0009920091,0.001139058],"category_scores_gemma":[0.00987522,0.0004657562,0.0009465899,0.001115812,0.001065851,0.001547676,0.002103302,0.001664446,0.0002047209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008798142,"about_ca_system_score_gemma":0.0008688279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00436635,"about_ca_topic_score_gemma":0.001999966,"domain_scores_codex":[0.9991894,0.0003412041,0.00003908212,0.0001626316,0.0001918503,0.0000757181],"domain_scores_gemma":[0.9959155,0.002854516,0.0003892189,0.0003055101,0.0004379625,0.00009735549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006564779,0.00002903961,0.002033163,0.00006148365,0.00004139849,0.00006952766,0.00007597316,0.9304293,0.001711225,0.03310148,0.0004025628,0.03197923],"study_design_scores_gemma":[0.000001920111,0.000004618283,0.0002451851,0.000002540186,0.00000201436,0.000007157024,0.000005480786,0.9925271,0.0002881874,0.006801933,0.0001097386,0.000004099556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02711174,0.0000628643,0.9721296,0.0001079919,0.000009701283,0.00001527058,0.000054224,0.00006902086,0.0004395946],"genre_scores_gemma":[0.7415293,0.0004800619,0.255015,0.00008976492,0.00007153777,0.0001318215,0.0004363029,0.00008033778,0.002165837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00436635,"threshold_uncertainty_score":0.01307428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2130806742042125,"score_gpt":0.2612063811950667,"score_spread":0.04812570699085422,"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."}}