{"id":"W3000585782","doi":"","title":"Comet Observations [658 National Research Council of Canada]","year":2010,"lang":"en","type":"article","venue":"Mathematics of Program Construction","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Comet; Research council; Computer science; Astrobiology; Government (linguistics); Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007413861,0.0007716998,0.0008731597,0.003818863,0.002766825,0.00175515,0.001607423,0.001095863,0.0250331],"category_scores_gemma":[0.001423636,0.0004707445,0.0008062722,0.005176611,0.0003318299,0.0006141646,0.0008444609,0.001214111,0.006464083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006872388,"about_ca_system_score_gemma":0.007476645,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6149967,"about_ca_topic_score_gemma":0.8086882,"domain_scores_codex":[0.9990855,0.00002312315,0.00002409854,0.0001553288,0.0005177211,0.0001942158],"domain_scores_gemma":[0.9981534,0.00005346868,0.000178519,0.0002478259,0.001089333,0.0002774555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0008467881,0.000214514,0.02831153,0.0005222697,0.000206825,0.0003833687,0.0003048347,0.001010638,0.009910346,0.006172349,0.8836889,0.06842755],"study_design_scores_gemma":[0.0003108079,0.00007047007,0.2345233,0.00009482876,0.0001105135,0.0001554655,0.0001423795,0.002010572,0.004908289,0.00125586,0.7563568,0.00006069052],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.05138552,0.002242555,0.009443642,0.004327455,0.001937568,0.0008846889,0.5519466,0.005836042,0.3719959],"genre_scores_gemma":[0.3143064,0.001817587,0.03153361,0.002741599,0.001180314,0.0005876735,0.5042766,0.001266339,0.1422898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6149967,"threshold_uncertainty_score":0.7745413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1334133054495575,"score_gpt":0.3132791462218159,"score_spread":0.1798658407722584,"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."}}