{"id":"W4231627788","doi":"10.4095/220010","title":"The SSCM for Ship Characterization Using Polarimetric SAR","year":2003,"lang":"en","type":"report","venue":"","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Characterization (materials science); Polarimetry; Remote sensing; Environmental science; Computer science; Geology; Physics; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0007217602,0.0008293912,0.0003456326,0.001115051,0.0003240782,0.0004640073,0.000338803,0.0004004196,0.001954874],"category_scores_gemma":[0.001380517,0.0002482573,0.0002512134,0.0009873821,0.0004195779,0.0006406957,0.00053357,0.0004360745,0.00128221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002148531,"about_ca_system_score_gemma":0.0004479482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004019764,"about_ca_topic_score_gemma":0.0009977767,"domain_scores_codex":[0.9994804,0.0001549202,0.00001361621,0.00005157823,0.0002796621,0.00001990793],"domain_scores_gemma":[0.9992687,0.0002087831,0.00007425296,0.0001836904,0.0002444325,0.00002019189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008160213,0.00005643285,0.004010048,0.0002680195,0.00003268442,0.000161159,0.00008398284,0.03328111,0.2264542,0.02111653,0.006503951,0.7079502],"study_design_scores_gemma":[0.00001908345,0.0002529541,0.006082393,0.00006612032,0.00002589136,0.0009662409,0.00011264,0.7896786,0.1457653,0.01109567,0.04588775,0.00004730397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01647059,0.000652532,0.9737681,0.0001747903,0.00005275898,0.00008405444,0.0001420523,0.0006402915,0.008014761],"genre_scores_gemma":[0.2724342,0.001306129,0.7195554,0.0001301027,0.00009573792,0.0002004792,0.0007184732,0.0001103451,0.005449092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001954874,"threshold_uncertainty_score":0.006539762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03894151194562205,"score_gpt":0.2828396089784093,"score_spread":0.2438980970327872,"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."}}