{"id":"W7009769416","doi":"","title":"02-11-19_EXP58_CSA-PAO-Inflight-Event_for_WE-Day_in_Montreal.wav","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"category_scores_codex":[0.0007007538,0.001175445,0.0007345032,0.00143508,0.003347469,0.00486092,0.002018949,0.001887341,0.9369321],"category_scores_gemma":[0.002860038,0.001004118,0.0006418145,0.001533444,0.0007276706,0.001864553,0.002544586,0.002088533,0.8963274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004382453,"about_ca_system_score_gemma":0.003647323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3060516,"about_ca_topic_score_gemma":0.487489,"domain_scores_codex":[0.99958,0.00002807823,0.000009779039,0.00005829185,0.0001768144,0.0001471007],"domain_scores_gemma":[0.9981615,0.0001642369,0.00004223491,0.0002535567,0.0007663788,0.0006120243],"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":[0.00002531156,0.00001513557,0.0001037746,0.00002616889,0.000001536638,0.00001447759,0.00004013548,0.00002180211,0.00009083622,0.0007934922,0.9920878,0.006779721],"study_design_scores_gemma":[0.00002098249,0.000007176763,0.0007215748,0.00002813297,0.000001911114,0.000009643659,0.00005698716,0.00003663794,0.0001843383,0.000160581,0.9987607,0.00001123832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002975407,0.000071771,0.0006884118,0.000559188,0.0004507919,0.000154645,0.02829159,0.009070041,0.9604161],"genre_scores_gemma":[0.001212999,0.00005032498,0.0001587432,0.0002418896,0.00004788991,0.00005403924,0.004940303,0.003066641,0.9902271],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6939484,"threshold_uncertainty_score":0.6085403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00599081376533153,"score_gpt":0.1926931126766437,"score_spread":0.1867022989113122,"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."}}