{"id":"W4385452328","doi":"10.1109/icces57224.2023.10192680","title":"Machine Learning based Prediction of Parameters that Influence Life on Mars","year":2023,"lang":"en","type":"article","venue":"","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Weather forecasting; Mars Exploration Program; Global Forecast System; Context (archaeology); Weather prediction; Model output statistics; Meteorology; Wind speed; Numerical weather prediction; Tropical cyclone forecast model; Computer science; Probabilistic forecasting; Environmental science; Artificial intelligence; Geography","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":[0.0004529851,0.000583112,0.0003863465,0.001268105,0.0002425421,0.0006103416,0.0003136015,0.0005231684,0.001338606],"category_scores_gemma":[0.00361156,0.0001444778,0.0003550305,0.0006748642,0.0001707733,0.0005563757,0.0002138922,0.000667435,0.000411981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003905674,"about_ca_system_score_gemma":0.0002064022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007046269,"about_ca_topic_score_gemma":0.007162799,"domain_scores_codex":[0.9998772,0.00003067028,0.000009312962,0.0000363674,0.00002728441,0.00001908173],"domain_scores_gemma":[0.9988608,0.0006367211,0.0002036122,0.00005523687,0.0001913453,0.00005219263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004442906,0.000221567,0.331554,0.0001381897,0.0002118126,0.000251682,0.0001471785,0.5725372,0.004551239,0.0008217214,0.004231034,0.08489011],"study_design_scores_gemma":[0.000006798597,0.00007506071,0.07057469,0.00001492493,0.00002583762,0.00003732552,0.00007622136,0.9264944,0.001339766,0.0006383495,0.0006976143,0.00001911779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727114,0.0006368635,0.02051378,0.0004446825,0.0001203218,0.00004415758,0.001888466,0.0005203619,0.00311977],"genre_scores_gemma":[0.9960607,0.0001232935,0.002613576,0.00001269529,0.00001933125,0.00001347328,0.0007553066,0.00001227144,0.0003893792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007046269,"threshold_uncertainty_score":0.01401055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02839593453813146,"score_gpt":0.2193820141467699,"score_spread":0.1909860796086384,"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."}}