{"id":"W3176090595","doi":"","title":"LIGHTCURVE ANALYSIS OF HILDA ASTEROIDS AT THE CENTER FOR SOLAR SYSTEM STUDIES: 2019 APRIL-JUNE.","year":2019,"lang":"en","type":"article","venue":"PubMed","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Morgan Solar (Canada)","funders":"","keywords":"Asteroid; Astronomy; Solar System; Center (category theory); Light curve; Geology; Astrobiology; Physics","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":[0.0004238674,0.00021262,0.0001716624,0.003165678,0.0003196461,0.0004295529,0.0002833928,0.00013336,0.004995999],"category_scores_gemma":[0.0006351631,0.00009695644,0.0003108025,0.003426488,0.0000753846,0.0002870954,0.0003983186,0.0002209872,0.002343545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006349543,"about_ca_system_score_gemma":0.0007123099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0383135,"about_ca_topic_score_gemma":0.07033195,"domain_scores_codex":[0.9998168,0.00001138362,0.00002232263,0.00003642431,0.00006978567,0.00004330513],"domain_scores_gemma":[0.9993498,0.00003003913,0.000167495,0.00005748565,0.0003195918,0.00007560858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008134806,0.0001072618,0.6448085,0.0009946473,0.0003546494,0.0003994345,0.00068948,0.0005822717,0.01307626,0.001128257,0.2349681,0.1020777],"study_design_scores_gemma":[0.000005391577,0.0000190972,0.9030404,0.00002678108,0.00003214566,0.0001318273,0.000158442,0.00009609861,0.001336992,0.00009082353,0.09505405,0.000007928075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.305914,0.003953334,0.001372489,0.0006572056,0.0002285799,0.000153655,0.655349,0.0006110026,0.03176065],"genre_scores_gemma":[0.3746034,0.00195719,0.00295275,0.0001470702,0.00007158403,0.00009355899,0.6060138,0.0001135271,0.01404715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0383135,"threshold_uncertainty_score":0.07618099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150369303688315,"score_gpt":0.2124628325743528,"score_spread":0.1974259022055213,"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."}}