{"id":"W4238106232","doi":"10.22215/etd/2013-09922","title":"Seeking Scent with Robotics for Planetary Exploration","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Insect Pheromone Research and Control","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Mars Exploration Program; Analogy; Simple (philosophy); Artificial intelligence; Computer science; Artificial neural network; Binary number; Astrobiology; Mathematics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002819685,0.0004373995,0.0003259379,0.000341604,0.0004537083,0.00178103,0.0005901511,0.0007095403,0.007424654],"category_scores_gemma":[0.0008270658,0.0001899634,0.000712409,0.0004722283,0.00170425,0.002724932,0.001461829,0.001199245,0.001808848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004525138,"about_ca_system_score_gemma":0.0004406237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007404792,"about_ca_topic_score_gemma":0.001302477,"domain_scores_codex":[0.9998097,0.00004997954,0.00000637771,0.00005394874,0.00006569911,0.00001432681],"domain_scores_gemma":[0.9998643,0.00004537883,0.00001786323,0.00003630504,0.00002123035,0.00001484449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004597566,0.00005298947,0.0009814611,0.0005279892,0.00009079962,0.0001141384,0.0005485666,0.04300691,0.007411881,0.7463393,0.008527611,0.1923523],"study_design_scores_gemma":[0.00001642793,0.0001016511,0.001009528,0.0001383238,0.00003461685,0.0002641865,0.000291225,0.0674808,0.003259452,0.7705206,0.1568407,0.00004248365],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0333216,0.01963231,0.7655932,0.00751298,0.0009414185,0.0001024541,0.0002839498,0.0009676974,0.1716445],"genre_scores_gemma":[0.5376608,0.02386833,0.3702948,0.0013157,0.001024074,0.0001912524,0.0005102716,0.0002822344,0.0648524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007424654,"threshold_uncertainty_score":0.02483791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02604679655645485,"score_gpt":0.2306661753353184,"score_spread":0.2046193787788635,"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."}}