{"id":"W4230315533","doi":"10.1109/jstars.2019.2941314","title":"IEEE GEOSCIENCE AND REMOTE SENSING SOCIETY","year":2019,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Remote sensing; Computer science; Earth science; Astrobiology; Geology","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":[0.0003510607,0.000131541,0.0002405875,0.00007278145,0.0002124019,0.00006724288,0.00005678608,0.00007782789,0.0000151184],"category_scores_gemma":[0.00002180424,0.0001098545,0.00003644808,0.0003615906,0.0001035992,0.0001273696,0.00001414043,0.0003146557,0.000002777144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000112138,"about_ca_system_score_gemma":0.00004464605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001038786,"about_ca_topic_score_gemma":0.001559568,"domain_scores_codex":[0.9989412,0.00002766995,0.0003397673,0.0001881622,0.0002612462,0.0002419194],"domain_scores_gemma":[0.9994905,0.00009616338,0.0001757575,0.00009172191,0.00006691903,0.00007892714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002178717,0.000004376558,0.02193471,0.00003598624,0.00002877144,0.00001331221,0.0005383239,0.001358333,0.00548435,0.000006739345,0.00006332137,0.97051],"study_design_scores_gemma":[0.00054911,0.00008854712,0.6330041,0.0001042309,0.00002292778,0.0001865906,0.0003748313,0.3593735,0.0006855983,0.001109309,0.004282366,0.0002189048],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926296,0.0002234559,0.004887599,0.000401338,0.0002954427,0.0001088529,0.000002407906,0.000008910707,0.001442359],"genre_scores_gemma":[0.8336514,0.001625896,0.1637483,0.000435557,0.0002257005,1.516988e-9,0.000003183706,0.000005096015,0.0003047796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9702911,"threshold_uncertainty_score":0.4479738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884777917475925,"score_gpt":0.202484255294493,"score_spread":0.1836364761197338,"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."}}