{"id":"W6991230192","doi":"","title":"Fort McMurray Observatory Monthly Magnetic Bulletin: September 2015","year":2016,"lang":"en","type":"other","venue":"NERC Open Research Archive (Natural Environment Research Council)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observatory; Earth's magnetic field; Table (database); Series (stratigraphy); Data series","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":[0.0004789474,0.0005215222,0.0003103444,0.002277526,0.001011347,0.00235754,0.0007266018,0.0004803002,0.3248464],"category_scores_gemma":[0.001535216,0.0002996492,0.0001853858,0.002272721,0.0002617058,0.001050442,0.000905349,0.0008446175,0.182845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002116987,"about_ca_system_score_gemma":0.002145905,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08475742,"about_ca_topic_score_gemma":0.2019867,"domain_scores_codex":[0.9996043,0.0000150925,0.00001264143,0.0000493151,0.0002820211,0.00003669005],"domain_scores_gemma":[0.9990754,0.00004068568,0.00005954014,0.0001157966,0.0005447849,0.0001638129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003064804,0.000008701416,0.0004463205,0.00003668079,0.000001467937,0.00001572903,0.0000229652,0.00003243552,0.0002155149,0.0007667734,0.9817031,0.0167197],"study_design_scores_gemma":[0.000004548047,0.000003675293,0.002589407,0.00001701806,8.387846e-7,0.000008100545,0.00001746998,0.00004156084,0.000208121,0.0001789583,0.9969265,0.000003840238],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.00345584,0.001046054,0.001951196,0.003050389,0.002123426,0.0002441358,0.1852621,0.005427739,0.7974393],"genre_scores_gemma":[0.009923108,0.0006532232,0.002205602,0.0003194038,0.0005221919,0.00006435195,0.06176827,0.002210704,0.9223331],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9152426,"threshold_uncertainty_score":0.9630247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1480137859282621,"score_gpt":0.3711475049169513,"score_spread":0.2231337189886892,"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."}}