{"id":"W7098042958","doi":"","title":"PREPRINT/PRÉTIRAGE RADARSAT-1 Stereo Advisor on CCRS Web","year":2011,"lang":"en","type":"article","venue":"","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Selection (genetic algorithm); Stereopsis; Stereoscopy; Web application","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001324417,0.0006455634,0.0007508827,0.002868807,0.0008564994,0.001767167,0.0009594123,0.001249073,0.817273],"category_scores_gemma":[0.006492236,0.0005344587,0.0003811117,0.002357065,0.000229589,0.001666366,0.00121534,0.001231031,0.7142237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009894656,"about_ca_system_score_gemma":0.001945836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007540772,"about_ca_topic_score_gemma":0.01546373,"domain_scores_codex":[0.9989988,0.0001055533,0.00006151212,0.0001225964,0.0006122889,0.0000991823],"domain_scores_gemma":[0.9912559,0.001037257,0.0002347127,0.001579003,0.004897885,0.0009953077],"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":[0.00005352735,0.00004506294,0.0003991177,0.00004912273,0.000002304044,0.00008297343,0.00002199676,0.0001062521,0.0007134,0.000733742,0.9430519,0.05474059],"study_design_scores_gemma":[0.00003273777,0.00001608792,0.001233889,0.00004303025,0.000002735832,0.00008298387,0.00005255144,0.0009895889,0.001294325,0.0006100257,0.99563,0.00001207935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004997381,0.0006125089,0.03031923,0.01033849,0.006035588,0.00130129,0.1083297,0.06340105,0.7746646],"genre_scores_gemma":[0.01352646,0.0005935738,0.0150067,0.001462841,0.001974993,0.0002938566,0.04664502,0.01387756,0.9066191],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.817273,"threshold_uncertainty_score":0.2606378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02756066365683446,"score_gpt":0.2074261642563541,"score_spread":0.1798655005995196,"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."}}