{"id":"W2942432801","doi":"10.3390/app9091733","title":"Spatial Data Reconstruction via ADMM and Spatial Spline Regression","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Smoothing; Spatial analysis; Data mining; Aggregate (composite); Spline (mechanical); Regression; Mathematics; Statistics; Computer vision","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":[0.001925297,0.001164785,0.001196593,0.001061077,0.0003518402,0.0008400901,0.001690982,0.001560287,0.0009888645],"category_scores_gemma":[0.005355584,0.0006668758,0.001360121,0.001821211,0.0009214709,0.001257966,0.001543052,0.002335696,0.0004211182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005407005,"about_ca_system_score_gemma":0.001378068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007396583,"about_ca_topic_score_gemma":0.005775596,"domain_scores_codex":[0.999105,0.0003440335,0.0000579431,0.0002135332,0.0002248556,0.00005457243],"domain_scores_gemma":[0.9980014,0.001135147,0.0002450892,0.0002506939,0.0003061839,0.000061422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000527389,0.00002551338,0.0008113615,0.00009192786,0.0000619811,0.00008473251,0.00006605346,0.9259341,0.002257902,0.01000979,0.001144274,0.05945957],"study_design_scores_gemma":[0.000003244368,0.000007536163,0.00005410928,0.000003757086,0.00000303561,0.00001459017,0.000005993325,0.9966792,0.0003136361,0.002579713,0.0003313347,0.000003887254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002461873,0.00007599024,0.9970077,0.00008976332,0.00001603203,0.000007633675,0.00003977814,0.0001478335,0.0001534151],"genre_scores_gemma":[0.2369317,0.0005099046,0.758809,0.0001821953,0.0001295782,0.0001543562,0.0008174607,0.0001316347,0.002334196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007396583,"threshold_uncertainty_score":0.01470703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03283433055003318,"score_gpt":0.3126979958033424,"score_spread":0.2798636652533092,"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."}}