{"id":"W2131169674","doi":"10.1109/igarss.2007.4423599","title":"Canadian Space Agency’s Hurricane Watch Program: Archive contents, Data Access and improved planning strategies","year":2007,"lang":"en","type":"article","venue":"","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Tropical cyclone; Agency (philosophy); Synthetic aperture radar; Variety (cybernetics); Storm; Meteorology; Computer science; Space (punctuation); Remote sensing; Geography; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001773568,0.000613972,0.0003722253,0.001786561,0.001749655,0.002047808,0.001282248,0.000566886,0.03590479],"category_scores_gemma":[0.002272797,0.0002868256,0.0002831959,0.003843179,0.0005481066,0.001391706,0.0009579454,0.0008095387,0.006908564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00884973,"about_ca_system_score_gemma":0.0221389,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9125778,"about_ca_topic_score_gemma":0.9409332,"domain_scores_codex":[0.9992447,0.0000922076,0.00001647055,0.00004521464,0.0005030724,0.00009840904],"domain_scores_gemma":[0.9976554,0.0001293847,0.00006555449,0.0002664339,0.001669965,0.0002132047],"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":[0.0002025172,0.00009738934,0.005802514,0.0001190799,0.00002798774,0.00004548039,0.0001815858,0.007066395,0.002805277,0.00706901,0.7742935,0.2022893],"study_design_scores_gemma":[0.0001930959,0.00007596164,0.02182638,0.00008737113,0.00002483531,0.00002866373,0.0003470176,0.02318547,0.003171655,0.002032785,0.9489477,0.00007905181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05824219,0.002634902,0.06456152,0.03864466,0.00164985,0.001879624,0.2160014,0.01756677,0.598819],"genre_scores_gemma":[0.2382522,0.006202146,0.2559229,0.002508263,0.000386111,0.0007400145,0.2688577,0.002956719,0.2241739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08742219,"threshold_uncertainty_score":0.1758741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09248915360606413,"score_gpt":0.3497452179536062,"score_spread":0.2572560643475421,"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."}}