{"id":"W2326775283","doi":"10.1097/00152193-200305000-00045","title":"Maple leaf madness","year":2003,"lang":"en","type":"article","venue":"Nursing","topic":"Plant-Derived Bioactive Compounds","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kelowna General Hospital","funders":"","keywords":"Maple; Bit (key); Computer science; Botany; Computer security; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000478912,0.0001036163,0.0001028985,0.00002513675,0.0000963584,0.00003401365,0.0001076661,0.00007853073,0.0008962392],"category_scores_gemma":[0.00004533195,0.0001083752,0.00003856474,0.00006648951,0.00006303622,0.00006861267,0.000006884836,0.0001402999,0.00009841019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001494564,"about_ca_system_score_gemma":0.0000315004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004626733,"about_ca_topic_score_gemma":0.000001413777,"domain_scores_codex":[0.9993331,0.00001474954,0.00009222553,0.0001888122,0.0001240489,0.0002470227],"domain_scores_gemma":[0.9996293,0.00003790378,0.0000372744,0.0002056277,0.00002587473,0.00006408377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002051751,0.0001070041,0.001577954,0.0000245039,0.0000157834,0.00002202143,0.0003405891,0.000003158379,0.9801852,0.001731832,0.004099908,0.01187153],"study_design_scores_gemma":[0.0004027504,0.00000806048,0.0005517199,0.0001513462,0.00001793209,0.0001317346,0.0007511738,0.0000825337,0.912211,0.002245654,0.08320178,0.00024433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5161632,0.0001860765,0.0004566437,0.0001325692,0.0003003497,0.00001937553,0.000009208194,0.0001077804,0.4826248],"genre_scores_gemma":[0.9963169,0.000003621386,0.0009271849,0.00005929176,0.00009475314,0.000002521263,0.00001359893,0.00001874005,0.002563394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4801537,"threshold_uncertainty_score":0.9813191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02474652503464302,"score_gpt":0.263854635964739,"score_spread":0.2391081109300959,"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."}}