{"id":"W7099186676","doi":"","title":"a Canadian Forces;","year":2010,"lang":"en","type":"article","venue":"","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radiance; Hyperspectral imaging; Oblique case; Reflectivity; Compensation (psychology); Process (computing)","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":["insufficient_payload"],"category_scores_codex":[0.0005968164,0.0009499043,0.0003881166,0.001267062,0.007342301,0.002806457,0.0009906301,0.001426791,0.4004638],"category_scores_gemma":[0.001478542,0.0003192404,0.0002982827,0.001851908,0.00103355,0.001068099,0.001868572,0.001361531,0.1370329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01004603,"about_ca_system_score_gemma":0.01858067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6778023,"about_ca_topic_score_gemma":0.8514863,"domain_scores_codex":[0.9991279,0.00005599443,0.0000209671,0.0001909029,0.0004067224,0.0001974458],"domain_scores_gemma":[0.9990594,0.00006020936,0.00004103162,0.00005851418,0.0005607218,0.0002201023],"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":[0.0002454154,0.0001516175,0.01171419,0.0002715879,0.00002509408,0.001268893,0.001088327,0.0007666718,0.002790331,0.05505795,0.5531716,0.3734482],"study_design_scores_gemma":[0.00000833898,0.00002003999,0.004100919,0.00007984867,0.000003788434,0.000195679,0.0006997957,0.000263951,0.0003249632,0.0008129734,0.9934762,0.00001349549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006871121,0.001690318,0.001156263,0.006511802,0.001018879,0.0001046608,0.005995682,0.0002113717,0.9764399],"genre_scores_gemma":[0.0214945,0.001088578,0.001576529,0.0008698114,0.00004606381,0.00003464178,0.002436344,0.00008325122,0.9723704],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6778023,"threshold_uncertainty_score":0.8551656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005175365253035579,"score_gpt":0.18436172206603,"score_spread":0.1791863568129944,"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."}}