{"id":"W3112070715","doi":"","title":"Cubic and bicubic spline interpolation in Python","year":2020,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Bicubic interpolation; Python (programming language); Computer science; Spline interpolation; Tangent; Algorithm; Mathematics; Programming language; Geometry; Computer vision; Bilinear interpolation","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":[0.001736414,0.000995331,0.00126801,0.001863752,0.0008164027,0.002500166,0.002330473,0.001031193,0.04936967],"category_scores_gemma":[0.006184101,0.0007239201,0.002010227,0.002920205,0.001043219,0.001752471,0.003451758,0.00267598,0.02376008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004705038,"about_ca_system_score_gemma":0.00248639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002968652,"about_ca_topic_score_gemma":0.00386497,"domain_scores_codex":[0.9977695,0.000365105,0.0001795738,0.0002611012,0.001164482,0.0002603195],"domain_scores_gemma":[0.9983007,0.0005478762,0.0001362676,0.0003943519,0.0004782433,0.0001425503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005629397,0.0002272735,0.002233319,0.002341124,0.0001902285,0.0006771808,0.0008773949,0.1110354,0.02039645,0.2264587,0.1849892,0.4500107],"study_design_scores_gemma":[0.0001132203,0.00008385471,0.001608456,0.0003612096,0.00004214188,0.0009210996,0.0001439952,0.4632656,0.01488407,0.1326224,0.3857826,0.0001713562],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002004129,0.0002374783,0.9520924,0.0001317278,0.0001530284,0.00008088327,0.002929363,0.03304013,0.009330843],"genre_scores_gemma":[0.05108177,0.0008572026,0.9005843,0.0002694647,0.0001167892,0.0006194667,0.0102098,0.01977948,0.01648165],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04936967,"threshold_uncertainty_score":0.165158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157191005352398,"score_gpt":0.2335000374654108,"score_spread":0.2219281274118868,"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."}}