{"id":"W7101767596","doi":"10.5683/sp3/xywddt","title":"Data for \"Holographic Complexity of the Klebanov-Strassler Background\"","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"Phytochemistry and biological activities of Ficus species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Winnipeg","funders":"","keywords":"Function (biology); Computational complexity theory; Time complexity; Feature (linguistics); Term (time)","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":[0.0008369117,0.002366177,0.001475403,0.002477247,0.0008048613,0.002205431,0.002695511,0.00341598,0.03107591],"category_scores_gemma":[0.005378549,0.0005170615,0.00143065,0.004669566,0.0005483073,0.001115709,0.001286058,0.002261111,0.04298931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683161,"about_ca_system_score_gemma":0.001435812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01067499,"about_ca_topic_score_gemma":0.02251559,"domain_scores_codex":[0.9992655,0.00009432925,0.00007059283,0.0002191372,0.0002400544,0.0001103803],"domain_scores_gemma":[0.9973579,0.000977515,0.0002850364,0.0006745541,0.000480624,0.0002244624],"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":[0.0001908638,0.0001059894,0.002303179,0.001303597,0.00006723747,0.00005664204,0.00002879491,0.002375871,0.0005183418,0.001299262,0.9873747,0.004375353],"study_design_scores_gemma":[0.001342048,0.0001053125,0.0190313,0.0004849626,0.00008229168,0.0002899221,0.0001255928,0.007938595,0.002815986,0.008276313,0.9594211,0.00008659474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008710184,0.0001779388,0.0001244589,0.00009734279,0.00003283103,0.00001108497,0.9971074,0.000828217,0.0007496581],"genre_scores_gemma":[0.002049852,0.00007969556,0.0004677415,0.00005968352,0.00001191431,0.00005747322,0.9967592,0.00008707736,0.0004273221],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03107591,"threshold_uncertainty_score":0.1039592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1441496143956915,"score_gpt":0.3037436018683096,"score_spread":0.1595939874726181,"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."}}