{"id":"W3016168762","doi":"","title":"Data Management and Archiving System for VENUS and NEPTUNE Canada","year":2006,"lang":"en","type":"article","venue":"AGUFM","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Venus; Neptune; Astrobiology; Meteorology; Business; Computer science; Planet; Geography; Astronomy; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000689771,0.00004792263,0.00006386493,0.000002635158,0.00009561223,0.00002785744,0.00008601713,0.000008633642,0.00001852291],"category_scores_gemma":[0.000001814946,0.00004036199,0.000004046095,0.00002691049,0.00001621557,0.00007384983,0.00002247232,0.00001813457,0.00000245955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002114935,"about_ca_system_score_gemma":0.00001472455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5581244,"about_ca_topic_score_gemma":0.7587789,"domain_scores_codex":[0.9995818,0.00000738103,0.00007023424,0.0001460946,0.00006298751,0.0001314738],"domain_scores_gemma":[0.9997644,0.00004333309,0.0000224063,0.0001320859,0.000002885956,0.00003486652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005215269,0.00001192735,0.5933284,0.001053086,0.00008042766,0.0002174903,0.00008902803,0.001873325,0.0000149346,0.001774948,0.02243628,0.379068],"study_design_scores_gemma":[0.0003208449,0.00003265737,0.7468956,0.0000429283,0.00003747045,0.0000279355,0.0005654841,0.0537254,0.000005704579,0.0002277712,0.1979655,0.0001527253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792936,0.002380573,0.0003973661,0.0001924583,0.0002025811,0.000192595,0.0004857277,0.00002256907,0.01683252],"genre_scores_gemma":[0.9973857,0.00003428249,0.001675935,0.00006152901,0.00005918794,7.65004e-7,0.0001610331,0.000001660276,0.0006199012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3789153,"threshold_uncertainty_score":0.4448181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240431758720933,"score_gpt":0.1832501505303112,"score_spread":0.1708458329431018,"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."}}