{"id":"W6969501615","doi":"10.5281/zenodo.8034444","title":"ttricco/sarracen: v1.1.0","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Rendering (computer graphics); Interpolation (computer graphics); Normalization (sociology); Linear interpolation; Bilinear interpolation; Nearest-neighbor 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002990857,0.00511609,0.002283623,0.001800319,0.001116916,0.005275778,0.01023466,0.003346132,0.3613676],"category_scores_gemma":[0.009754681,0.004111983,0.003603327,0.001661194,0.001296506,0.005021717,0.005430046,0.005523452,0.3751437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002558716,"about_ca_system_score_gemma":0.001901119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008486668,"about_ca_topic_score_gemma":0.006736347,"domain_scores_codex":[0.998216,0.0002022909,0.0001334469,0.0003945054,0.000729778,0.0003240054],"domain_scores_gemma":[0.9967873,0.0005176674,0.0001344759,0.001236315,0.001075471,0.0002487626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005063441,0.00004718469,0.0004813835,0.0004775548,0.00006119257,0.0001116814,0.0001117628,0.0008044817,0.002355786,0.003358971,0.9700397,0.021644],"study_design_scores_gemma":[0.0004408053,0.00008313031,0.0008753377,0.0002517626,0.00005674983,0.0003738494,0.00005843902,0.01370777,0.02924769,0.0110132,0.9436292,0.000261991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0004592112,0.0001592909,0.03448729,0.0001788343,0.0002987853,0.00008925796,0.01979891,0.9275743,0.01695411],"genre_scores_gemma":[0.009394482,0.000203297,0.02252058,0.00073316,0.000137208,0.0003969143,0.06631093,0.8736455,0.02665785],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3613676,"threshold_uncertainty_score":0.9109317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03486459308782267,"score_gpt":0.2593705860731836,"score_spread":0.224505992985361,"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."}}