{"id":"W1994469798","doi":"10.1007/s10846-013-9818-6","title":"Rover-Based Autonomous Science by Probabilistic Identification and Evaluation","year":2013,"lang":"en","type":"article","venue":"Journal of Intelligent & Robotic Systems","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; Queen's University","funders":"","keywords":"Identification (biology); Probabilistic logic; Computer science; Artificial intelligence; Engineering; Systems engineering; Data science","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":[0.001252467,0.0001365169,0.0002260436,0.0002514891,0.00008389848,0.0003424024,0.0001804425,0.00005983224,0.00002972865],"category_scores_gemma":[0.0002454376,0.0001172822,0.00004628013,0.0002976937,0.00008921853,0.0003516549,0.000009041314,0.0001128367,0.00003098328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004465123,"about_ca_system_score_gemma":0.000135125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004171146,"about_ca_topic_score_gemma":0.000001346095,"domain_scores_codex":[0.9981205,0.00006799691,0.0008022547,0.0001452675,0.0006696148,0.0001943998],"domain_scores_gemma":[0.9983729,0.000090945,0.0002905622,0.0001836319,0.000917319,0.0001446698],"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":[0.000002070834,0.00003188897,0.0002053937,0.00009879238,0.00001693748,6.481342e-7,0.00008339909,0.9784189,0.01734156,0.0002411771,0.0009278604,0.002631393],"study_design_scores_gemma":[0.0001687721,0.00007995434,0.0008883029,0.0001376818,0.00005397843,0.00002976361,0.0001533725,0.9925993,0.005516749,0.0001418892,0.0001080046,0.0001222166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2448607,0.001930138,0.7499653,0.0001275749,0.00209139,0.0007773324,0.000001544071,0.00004441276,0.0002016265],"genre_scores_gemma":[0.9992568,0.00004331683,0.0004959767,0.00001424884,0.00009593946,0.00001536211,0.000005168834,0.00001987796,0.00005323133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7543961,"threshold_uncertainty_score":0.4782628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637353871163615,"score_gpt":0.2418728895681474,"score_spread":0.2254993508565112,"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."}}