{"id":"W4404679982","doi":"","title":"ENVIRONMENTAL FACTORS INFLUENCING SODIUM PERCHLORATE PRECIPITATION ON MARS","year":2024,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Chemical Analysis and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"Agencia Estatal de Investigación; Euskal Herriko Unibertsitatea","keywords":"Mars Exploration Program; Perchlorate; Precipitation; Environmental science; Sodium; Astrobiology; Sodium perchlorate; Environmental chemistry; Chemistry; Meteorology; Physics; Organic chemistry","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":[0.0002432686,0.0002100809,0.0002896117,0.0004280746,0.0009484315,0.0008740221,0.0002441679,0.0004201885,0.002247497],"category_scores_gemma":[0.0006028926,0.0001194087,0.0002344347,0.0004899816,0.0003558926,0.0002913003,0.0004453021,0.0002532191,0.0003016623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007316187,"about_ca_system_score_gemma":0.0006532432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02663643,"about_ca_topic_score_gemma":0.0326454,"domain_scores_codex":[0.9998259,0.00003624836,0.000009499842,0.00003455757,0.00004244427,0.00005142025],"domain_scores_gemma":[0.999603,0.00009435768,0.00009170386,0.00001171116,0.0001357769,0.00006352208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001250242,0.0001335775,0.9023703,0.00009456253,0.0001145513,0.0005399149,0.0008100067,0.001455431,0.08418957,0.0001092493,0.0004507183,0.008481912],"study_design_scores_gemma":[0.000004890064,0.0001111494,0.9951128,0.000002804697,0.00001268483,0.00003901163,0.0007312283,0.000302847,0.002953229,0.00002827844,0.0006964757,0.000004596919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99887,0.00006344433,0.00005954117,0.00005059386,0.000005511054,0.000005799023,0.00009104888,0.000005451109,0.0008486899],"genre_scores_gemma":[0.9990836,0.00005823502,0.00006270101,0.00001635151,0.000007676441,0.00000537547,0.0001003244,0.000002988358,0.0006627809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02663643,"threshold_uncertainty_score":0.05296278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009169246193670298,"score_gpt":0.2056535492891061,"score_spread":0.1964843030954358,"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."}}