{"id":"W2997077762","doi":"10.1007/s10707-019-00391-w","title":"Toward volume preserving spheroid degenerated-octree grid","year":2020,"lang":"en","type":"article","venue":"GeoInformatica","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Octree; Spheroid; Volume (thermodynamics); Computer graphics (images); Grid; Geography; Grid cell; Computer science; Cartography; Computer vision; Geodesy; Physics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004076889,0.0002821728,0.000574838,0.0006121443,0.0002911232,0.0008467904,0.001071995,0.0004139608,0.001783877],"category_scores_gemma":[0.00194468,0.0002712061,0.0003775168,0.000638809,0.0003946411,0.0007583859,0.001817838,0.000821263,0.0005641991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003666963,"about_ca_system_score_gemma":0.0005255332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002420078,"about_ca_topic_score_gemma":0.002950044,"domain_scores_codex":[0.999651,0.00009852381,0.00001785557,0.00003791414,0.0001694806,0.0000252772],"domain_scores_gemma":[0.9994416,0.00012748,0.0000419267,0.0001730043,0.0001673106,0.00004873565],"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":[0.0005901213,0.00018949,0.003173885,0.0002470305,0.00007408266,0.0002874144,0.0004393187,0.431128,0.03045684,0.1593069,0.01100288,0.363104],"study_design_scores_gemma":[0.00001427149,0.00003275228,0.0001472603,0.000008353682,0.000004313065,0.0000771907,0.00002972772,0.9752983,0.002701748,0.01791099,0.003769299,0.000005822013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01963945,0.00007533374,0.9779363,0.00005934747,0.00003347675,0.00002420906,0.00007462676,0.0003687276,0.001788574],"genre_scores_gemma":[0.2695861,0.0001709211,0.7259319,0.0001149622,0.00001999588,0.00006151399,0.0003904242,0.0002370973,0.003487037],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002420078,"threshold_uncertainty_score":0.005967677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03567974249988519,"score_gpt":0.246389560051613,"score_spread":0.2107098175517278,"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."}}