{"id":"W1509298728","doi":"","title":"THE POTENTIAL OF THE PROPOSED CANADIAN HERO MISSION FOR GEOSCIENCE APPLICATIONS","year":2013,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"HERO; Hyperspectral imaging; MODTRAN; Computer science; Remote sensing; Environmental science; Geology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008456247,0.00003280669,0.00003153086,0.00001203787,0.001144837,0.0001348902,0.0001915429,0.00001053104,0.0007476413],"category_scores_gemma":[0.00001072678,0.00001442012,0.00003546508,0.00002094471,0.0002129562,0.00005813384,0.00001647468,0.00002578613,0.00002200775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001442059,"about_ca_system_score_gemma":0.0001102215,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1209386,"about_ca_topic_score_gemma":0.577747,"domain_scores_codex":[0.9996582,0.00001184901,0.00008400694,0.00006122607,0.00007254212,0.0001121461],"domain_scores_gemma":[0.9996193,0.00001961971,0.00003220233,0.0001280498,0.0001567567,0.00004407184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000183404,0.00003534178,0.0002086729,0.00001254638,0.00001095455,2.718068e-8,0.001252911,0.00000419203,0.004681893,0.9406987,0.03971521,0.01337773],"study_design_scores_gemma":[0.00007803999,0.0000202544,0.004034843,0.000003632442,0.000006103739,1.612493e-7,0.001424033,0.001048431,0.001121324,0.02352928,0.9686815,0.00005239762],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6323276,0.0001251889,0.001378159,0.04656207,0.001674205,0.007402629,0.000154508,0.00005123457,0.3103244],"genre_scores_gemma":[0.9461344,0.00000275672,0.00002209268,0.0001683581,0.00007409296,0.00004369796,9.395378e-7,0.000002510682,0.0535511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9289663,"threshold_uncertainty_score":0.8849151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727351629925424,"score_gpt":0.2196287311192069,"score_spread":0.2023552148199526,"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."}}