{"id":"W6940852684","doi":"10.7939/dvn/10634","title":"The Alberta Hail Project Meteorological and Barge-Humphries Radar Archive","year":2016,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Radar; Space-based radar; Nowcasting; Radar systems; Radar tracker","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":[0.0013985,0.000756021,0.0007420962,0.006483203,0.002171692,0.00429095,0.002093537,0.0006701304,0.09051004],"category_scores_gemma":[0.004178343,0.0005612591,0.0002631876,0.0123543,0.0005333681,0.001054048,0.001402915,0.001039221,0.04649416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009272542,"about_ca_system_score_gemma":0.03088182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9280637,"about_ca_topic_score_gemma":0.9451617,"domain_scores_codex":[0.9986815,0.00005457115,0.00003982186,0.00009270709,0.0009557666,0.0001756981],"domain_scores_gemma":[0.9943413,0.000222071,0.0001942282,0.000515927,0.004045387,0.0006811224],"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":[0.000122981,0.00002602529,0.002584786,0.0001086947,0.00001285749,0.00006083207,0.0001646277,0.0007766082,0.0004307499,0.001440977,0.9529284,0.04134244],"study_design_scores_gemma":[0.00004157103,0.000007698167,0.02094948,0.00009381391,0.0000171246,0.00003095998,0.0002994522,0.001281058,0.0008001805,0.0009275585,0.975504,0.00004705672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006647758,0.001377223,0.002687068,0.00131881,0.0007274431,0.0001511291,0.8380925,0.005543328,0.1434547],"genre_scores_gemma":[0.04221956,0.002550744,0.01141764,0.0004259792,0.0003350977,0.000160164,0.6556971,0.003233765,0.28396],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09051004,"threshold_uncertainty_score":0.3027862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007680854063778877,"score_gpt":0.1614810768401155,"score_spread":0.1538002227763366,"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."}}