{"id":"W6999526643","doi":"","title":"Critical points of shading: on intensity maxima","year":2003,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Maxima; Intensity (physics); Maxima and minima; Shading; Statistical analysis; Point (geometry)","routes":{"ca_aff":false,"ca_fund":true,"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":[0.00153346,0.0009782881,0.001043056,0.003588255,0.001336347,0.003687364,0.0013464,0.001199094,0.02073981],"category_scores_gemma":[0.008408304,0.0009611524,0.001044933,0.002699031,0.002904074,0.004612135,0.002792817,0.002068378,0.003079119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001216581,"about_ca_system_score_gemma":0.0007667541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00271539,"about_ca_topic_score_gemma":0.002568994,"domain_scores_codex":[0.9993094,0.0001987265,0.00003160852,0.0001409843,0.000189459,0.0001299355],"domain_scores_gemma":[0.9977828,0.001183392,0.0001637536,0.0002488876,0.0004289198,0.000192284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002162963,0.00004217897,0.001489847,0.0002662613,0.00003279972,0.0001862398,0.001363633,0.01720274,0.006258673,0.7742145,0.01717173,0.181555],"study_design_scores_gemma":[0.00007377838,0.0001001811,0.00327918,0.0002908412,0.00004955055,0.0004870037,0.0007230654,0.1814943,0.005775318,0.7483739,0.05927191,0.00008094998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0309714,0.002843973,0.9012471,0.001101379,0.0002710604,0.0001380069,0.0002366146,0.00123183,0.06195865],"genre_scores_gemma":[0.5453214,0.005247621,0.4017582,0.0004296352,0.0009552427,0.0003621274,0.0007712226,0.002900729,0.04225376],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02073981,"threshold_uncertainty_score":0.06938159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02561399182794901,"score_gpt":0.2927497085776973,"score_spread":0.2671357167497483,"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."}}