{"id":"W6930562654","doi":"10.5281/zenodo.14510425","title":"tinatorabi/EntropyGrad.jl: v0.0.1","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ethnobotanical and Medicinal Plants Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Entropy (arrow of time); Computation; Energy (signal processing); Energy consumption","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":[0.002065511,0.003720814,0.004075873,0.003466407,0.001018725,0.004870099,0.0113307,0.002659367,0.3712959],"category_scores_gemma":[0.007785677,0.002422117,0.002210467,0.004483951,0.0009641593,0.004724222,0.004200201,0.004204893,0.3267306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001912978,"about_ca_system_score_gemma":0.002160392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004440261,"about_ca_topic_score_gemma":0.005760839,"domain_scores_codex":[0.9986821,0.0001429493,0.0001006899,0.0001822769,0.0007154782,0.000176506],"domain_scores_gemma":[0.9982256,0.0005186182,0.0001323643,0.0005137939,0.0004237939,0.0001858612],"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":[0.0001494085,0.00006366445,0.0004356343,0.001400649,0.0001376879,0.0001014278,0.00008973709,0.006720947,0.0008570589,0.01561506,0.9326255,0.0418033],"study_design_scores_gemma":[0.0005693759,0.0000666604,0.001136978,0.0004514302,0.00007523087,0.0002854844,0.00004916504,0.1119985,0.009623767,0.07484356,0.8006484,0.0002515725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001562405,0.001734913,0.1266895,0.0005804437,0.001059791,0.0001447103,0.2082632,0.6148798,0.04508528],"genre_scores_gemma":[0.02760444,0.001969035,0.1292471,0.0008901106,0.0005214537,0.0009164602,0.3217829,0.4778373,0.03923124],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3712959,"threshold_uncertainty_score":0.8967701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04087408876704243,"score_gpt":0.2420266465747777,"score_spread":0.2011525578077352,"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."}}