{"id":"W7002310101","doi":"","title":"The Mystery of The Mad Trapper of Rat River (NT)","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Pharmaceutical Quality and Counterfeiting","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife management; Front (military); Tentacle (botany); Dingo; Juvenile","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":[],"consensus_categories":[],"category_scores_codex":[0.0008182953,0.0002583424,0.0002395317,0.0004545702,0.01373822,0.00575756,0.0009549386,0.001998883,0.0120761],"category_scores_gemma":[0.002133426,0.000301891,0.0001504503,0.0005793323,0.006284685,0.006187346,0.003143816,0.003915835,0.001355881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004007289,"about_ca_system_score_gemma":0.002590213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07960556,"about_ca_topic_score_gemma":0.2027906,"domain_scores_codex":[0.9989536,0.0004005569,0.00003155372,0.0001184064,0.0001947202,0.0003011416],"domain_scores_gemma":[0.9994845,0.0001064606,0.00008455738,0.00003576798,0.0001072192,0.0001813549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004565519,0.00003193873,0.00519102,0.0001187471,0.000008313722,0.003418591,0.5413939,0.00004897816,0.0004549999,0.131705,0.2859447,0.03163827],"study_design_scores_gemma":[0.000002907843,0.00001489414,0.003256522,0.0002727321,0.000004184938,0.002078041,0.3233739,0.00005480478,0.0001610062,0.003431467,0.6673309,0.00001858062],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1876897,0.007241557,0.001705032,0.07832891,0.002544387,0.00006480425,0.0003834206,0.0002069411,0.7218353],"genre_scores_gemma":[0.8125134,0.002168026,0.0004036111,0.01381144,0.0004257622,0.0000560474,0.0001424048,0.00009733919,0.170382],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9203944,"threshold_uncertainty_score":0.1582844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201374565573609,"score_gpt":0.2287294997983053,"score_spread":0.2167157541425692,"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."}}