{"id":"W3166332376","doi":"","title":"LIGHTCURVE ANALYSIS OF HILDA ASTEROIDS AT THE CENTER FOR SOLAR SYSTEM STUDIES: 2018 JULY-SEPTEMBER.","year":2019,"lang":"en","type":"article","venue":"PubMed","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Morgan Solar (Canada)","funders":"","keywords":"Asteroid; Center (category theory); Solar System; Astronomy; Astrobiology; Meteorology; Geography; Physics; 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":[0.0002767114,0.000230423,0.0001819529,0.003439053,0.0003887597,0.0004820458,0.0002548098,0.000181447,0.006526644],"category_scores_gemma":[0.0007955407,0.00009086208,0.0002601609,0.002776742,0.0000856159,0.0003313175,0.0003600472,0.0002312111,0.003298766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003972788,"about_ca_system_score_gemma":0.0006713629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02869414,"about_ca_topic_score_gemma":0.05628929,"domain_scores_codex":[0.9998568,0.000007965727,0.0000147552,0.00003278727,0.0000552737,0.00003235156],"domain_scores_gemma":[0.9993045,0.00004288689,0.0001089905,0.00006712173,0.0003887252,0.00008778887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00101851,0.0001630284,0.5067161,0.0004646069,0.0002940016,0.0003493612,0.0008147901,0.002196012,0.009855901,0.001531109,0.3551801,0.1214166],"study_design_scores_gemma":[0.00001198592,0.00003359149,0.8957638,0.00003190814,0.00003639592,0.0001394072,0.0002514489,0.0007854351,0.0017252,0.000165926,0.1010389,0.00001599974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4956134,0.0009010215,0.001678564,0.000411274,0.0001953995,0.00009690451,0.4636622,0.002884611,0.03455664],"genre_scores_gemma":[0.4977511,0.0006517194,0.003360278,0.00007031844,0.0000872711,0.00006960785,0.4788483,0.0005007606,0.01866066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02869414,"threshold_uncertainty_score":0.05705428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01883492712125026,"score_gpt":0.2212739759455849,"score_spread":0.2024390488243346,"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."}}