{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001385215,0.0007119902,0.0006239536,0.006018673,0.004508161,0.004305563,0.002942393,0.0008013326,0.04094033],"category_scores_gemma":[0.006084696,0.0005275558,0.0004983466,0.01097573,0.0006556105,0.001512397,0.001630697,0.001253269,0.01356437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0330273,"about_ca_system_score_gemma":0.1047312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9852006,"about_ca_topic_score_gemma":0.9732397,"domain_scores_codex":[0.9988133,0.00004877031,0.0000952557,0.0001215198,0.0006250899,0.0002961331],"domain_scores_gemma":[0.9865543,0.0004209652,0.0003233183,0.001118723,0.01017444,0.001408229],"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":[0.0005664994,0.00006223912,0.01295563,0.0002491624,0.00008128295,0.0001451482,0.0006582362,0.00262859,0.003147204,0.00825827,0.8589352,0.1123125],"study_design_scores_gemma":[0.0001644974,0.000020918,0.03462293,0.0002839293,0.00009289024,0.0001232447,0.0008125058,0.01369977,0.006914712,0.003131996,0.9399544,0.0001782295],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0235186,0.0006776484,0.01935657,0.001832118,0.000334536,0.001193503,0.8132034,0.03308971,0.106794],"genre_scores_gemma":[0.1208983,0.001710902,0.07437067,0.001029944,0.0001397068,0.001524406,0.6928768,0.006794898,0.1006544],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9852006,"threshold_uncertainty_score":0.2396309,"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."}}