{"id":"W3103164019","doi":"","title":"KNOW YOUR NEIGHBORHOOD: A DETAILED MODEL ATMOSPHERE ANALYSIS OF NEARBY WHITE DWARFS","year":2016,"lang":"en","type":"article","venue":"","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"White dwarf; Physics; Stars; Astrophysics; Brown dwarf; Population; Effective temperature; Atmosphere (unit); Stellar classification; Parallax; Spectral energy distribution; Astronomy; Spectral line; Meteorology","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":[0.0002396871,0.0002168678,0.0003898651,0.0003499553,0.0003255708,0.0004453587,0.0004739684,0.0001992384,0.0007361556],"category_scores_gemma":[0.000597591,0.000160767,0.0005146007,0.000382809,0.00007750402,0.0003840948,0.0003460619,0.0001771072,0.0001939563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002918344,"about_ca_system_score_gemma":0.0003498511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03118591,"about_ca_topic_score_gemma":0.03086886,"domain_scores_codex":[0.9999291,0.00001807152,0.00000311192,0.00002598824,0.00001432498,0.000009437006],"domain_scores_gemma":[0.9998345,0.00004530574,0.00002095459,0.00004302991,0.00003108688,0.00002499693],"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":[0.000120935,0.0001110674,0.2229028,0.00002654205,0.0002689202,0.000143523,0.0002818663,0.7446496,0.0064356,0.003754423,0.001639827,0.0196649],"study_design_scores_gemma":[0.00001816183,0.00003262138,0.06225017,0.000001753839,0.00003627764,0.00003070635,0.00003879431,0.9345084,0.0004577732,0.001371372,0.001239927,0.00001400383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786388,0.00006542844,0.0171313,0.00006754246,0.000004872894,0.00001165369,0.002077619,0.0004068672,0.001595924],"genre_scores_gemma":[0.9890081,0.00005891381,0.008100762,0.0000138246,0.00001070599,0.00001102358,0.002185538,0.0001122544,0.0004988367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03118591,"threshold_uncertainty_score":0.06200874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326320454145526,"score_gpt":0.2317271725921972,"score_spread":0.218463968050742,"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."}}