{"id":"W3000317101","doi":"","title":"Canadian Oceans and Coaastal Socio-Econimic Initiatives Using Envisat, SMOS, CryoSat-2 and RADARSAT-2","year":2010,"lang":"en","type":"article","venue":"ESA Living Planet Symposium","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Remote sensing; Meteorology; Earth observation satellite; Environmental science; Climatology; Geography; Satellite; Geodesy; Geology; Engineering","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":[0.002227649,0.0005507667,0.0002299027,0.002683779,0.005511639,0.002821828,0.0007995985,0.0007974698,0.0186037],"category_scores_gemma":[0.003359558,0.000249315,0.0005004923,0.002781334,0.0008263308,0.0007765415,0.002906312,0.001488818,0.00135597],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04018135,"about_ca_system_score_gemma":0.1646196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9832219,"about_ca_topic_score_gemma":0.9942582,"domain_scores_codex":[0.9981311,0.0001398045,0.00003299161,0.00009068899,0.001023668,0.0005818857],"domain_scores_gemma":[0.9920494,0.0002853419,0.000270821,0.0002136287,0.004854722,0.002326119],"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":[0.0004144759,0.0002558256,0.094138,0.0003291211,0.0001594842,0.0002842733,0.001403597,0.001323096,0.001959367,0.03316113,0.6853547,0.1812169],"study_design_scores_gemma":[0.00006308022,0.00005623412,0.1542094,0.0000942251,0.00003877877,0.00004304594,0.003125584,0.001008344,0.0008335161,0.001183391,0.839292,0.00005243886],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1399456,0.004425153,0.00378719,0.1444481,0.004320988,0.001124725,0.07737355,0.001287454,0.6232872],"genre_scores_gemma":[0.4192562,0.004076564,0.01835976,0.0150548,0.0003510528,0.0006224165,0.02788736,0.0003492739,0.5140425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9598187,"threshold_uncertainty_score":0.2915375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005813423451752703,"score_gpt":0.1970866889841861,"score_spread":0.1912732655324334,"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."}}