{"id":"W1973548346","doi":"10.5589/m11-016","title":"Identifying paddy fields with dual-polarization ALOS/PALSAR data","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Aerospace Exploration Agency; Zhejiang University; National Natural Science Foundation of China","keywords":"Remote sensing; Paddy field; Synthetic aperture radar; Environmental science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002351508,0.0003274594,0.0001596156,0.001003982,0.0001346127,0.000343743,0.0001919434,0.0001823562,0.0004829802],"category_scores_gemma":[0.0002537603,0.0001327964,0.0001578817,0.0005090359,0.000156668,0.0004194003,0.0002825144,0.0001336978,0.000300676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001071405,"about_ca_system_score_gemma":0.0002006379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001457533,"about_ca_topic_score_gemma":0.003564158,"domain_scores_codex":[0.9999133,0.00001506025,0.000003932742,0.00002708512,0.0000211736,0.00001933243],"domain_scores_gemma":[0.9999157,0.00001984887,0.00001490452,0.00001031481,0.00002902977,0.00001011445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000451662,0.0001843535,0.13007,0.000201114,0.00007870085,0.0003397581,0.0003565578,0.02642691,0.3904139,0.0006994825,0.001396184,0.4493813],"study_design_scores_gemma":[0.0001094344,0.0004091599,0.3540265,0.00004570038,0.0001868407,0.0008373906,0.001433379,0.4149765,0.2190486,0.002302387,0.006531379,0.00009271725],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9211175,0.0001142626,0.07481861,0.00005022655,0.000009900735,0.00004299276,0.0005840795,0.0003429668,0.002919414],"genre_scores_gemma":[0.9100486,0.0001162266,0.08817877,0.00003844871,0.000006848758,0.00002789638,0.0007588917,0.00001508564,0.000809197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001457533,"threshold_uncertainty_score":0.002898037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03776531140452661,"score_gpt":0.2276711003567258,"score_spread":0.1899057889521992,"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."}}