{"id":"W2738430726","doi":"10.1109/icra.2017.7989647","title":"Simple texture descriptors for classifying monochrome planetary rover terrains","year":2017,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Terrain; Artificial intelligence; Monochrome; Computer vision; Computer science; Histogram; Traverse; Geology; Pattern recognition (psychology); Bedrock; Remote sensing; Texture (cosmology); Image (mathematics); Geography; Geodesy; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004191238,0.0001167594,0.0001185466,0.00003665479,0.0002174736,0.0001282127,0.0001477346,0.00009217702,0.00009210775],"category_scores_gemma":[0.00002692111,0.0001052432,0.00004834696,0.00001613025,0.00002106575,0.0001556415,0.00001490561,0.0000668564,0.00001736713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003282404,"about_ca_system_score_gemma":0.00000714148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005281021,"about_ca_topic_score_gemma":0.0001217777,"domain_scores_codex":[0.9994746,0.000003690041,0.0001245304,0.0001220552,0.00007087772,0.0002042098],"domain_scores_gemma":[0.9995682,0.00002237584,0.00002603157,0.0003021356,0.00001857688,0.00006266782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001966464,0.0000285374,0.01007552,0.0002247119,0.0001229376,0.00001138716,0.0002596894,0.8567878,0.01342793,0.003275092,0.1035818,0.01218495],"study_design_scores_gemma":[0.0003278808,0.0000250036,0.01047225,0.00001125394,0.00001425644,0.000001704242,0.00003534983,0.9584048,0.001308692,0.0003986426,0.02881207,0.000188103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1048137,0.0001146615,0.872398,0.0002633301,0.001077519,0.0004592187,0.00006666581,0.0004867754,0.02032017],"genre_scores_gemma":[0.9962021,0.00001249875,0.002789154,0.0001274353,0.0001715979,0.00000707705,0.0001059718,0.00003381713,0.0005504204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8913883,"threshold_uncertainty_score":0.4291691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02917447654320262,"score_gpt":0.2448247499472635,"score_spread":0.2156502734040609,"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."}}