{"id":"W7006086171","doi":"","title":"SHORT CUTS #170 - Doug Life","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Biological and pharmacological studies of plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008666533,0.0006070735,0.0004536796,0.0008727675,0.005664599,0.005332979,0.0009221564,0.00348409,0.6579058],"category_scores_gemma":[0.004288766,0.0004512039,0.0003468989,0.0005622223,0.0008509888,0.002549356,0.002958599,0.003718665,0.504051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002970455,"about_ca_system_score_gemma":0.004435388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0484088,"about_ca_topic_score_gemma":0.1966949,"domain_scores_codex":[0.9988917,0.00006983388,0.00002542946,0.0001135378,0.0006312544,0.0002682849],"domain_scores_gemma":[0.995667,0.0002107523,0.00005942733,0.0001658003,0.001670316,0.002226658],"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":[0.000005147926,0.000005037694,0.00002275367,0.000007890676,1.796258e-7,0.000009661663,0.00001628619,0.000001409039,0.00002865243,0.0004154485,0.9953916,0.004095986],"study_design_scores_gemma":[0.000001642149,0.000004005974,0.0001876039,0.00001163216,2.469861e-7,0.00001095526,0.00007412781,0.000003044816,0.00001263521,0.00008042662,0.9996122,0.000001532565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006938566,0.001551821,0.0002999473,0.05303423,0.03485121,0.0001476412,0.001734508,0.001190682,0.906496],"genre_scores_gemma":[0.0006587856,0.000169798,0.00005455663,0.005032892,0.0006505814,0.00001598039,0.0002812946,0.0001310241,0.9930051],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6579058,"threshold_uncertainty_score":0.4879559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01624158276424957,"score_gpt":0.2299408204303842,"score_spread":0.2136992376661346,"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."}}