{"id":"W4393594685","doi":"10.5281/zenodo.3698139","title":"HiRISE DTMs generated using NASA's Ames Stereo Pipeline","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Pipeline (software); Geology; Astrobiology; Remote sensing; Engineering; Mechanical engineering; 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":[0.0006611859,0.0029648,0.001224141,0.003449199,0.0007697429,0.001416525,0.002705929,0.002131995,0.02496192],"category_scores_gemma":[0.002507342,0.0006541088,0.001881082,0.004123532,0.0004790367,0.001503647,0.001633608,0.001862318,0.0606584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108145,"about_ca_system_score_gemma":0.001265843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02791667,"about_ca_topic_score_gemma":0.05697892,"domain_scores_codex":[0.9992662,0.00007382488,0.00006500302,0.0002745617,0.000204801,0.0001156362],"domain_scores_gemma":[0.9993318,0.00007991763,0.00004913048,0.000241718,0.0002464591,0.00005099323],"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":[0.00008644105,0.00005113498,0.0009755721,0.0004836934,0.00006514975,0.00007800506,0.00003942344,0.001433859,0.0007899546,0.0005077274,0.9871662,0.008322762],"study_design_scores_gemma":[0.0002453563,0.00003973835,0.007633992,0.0002195511,0.00006713477,0.0002043193,0.0002007082,0.005201912,0.002406586,0.00279124,0.9808978,0.00009171476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001009574,0.0001971765,0.0008286096,0.0001004189,0.0001167105,0.00003846558,0.9927915,0.003568378,0.001349128],"genre_scores_gemma":[0.001129728,0.00005581147,0.001571095,0.00002701805,0.00001533984,0.00006393034,0.9962698,0.0001976468,0.0006695093],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02791667,"threshold_uncertainty_score":0.08350593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04433606080453155,"score_gpt":0.2384886709052541,"score_spread":0.1941526101007225,"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."}}