{"id":"W3137922084","doi":"","title":"Preatmospheric masses of large fireballs from the Canadian network","year":2006,"lang":"en","type":"article","venue":"European Planetary Science Congress 2006","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0004507966,0.0005344047,0.0003853211,0.002256675,0.005183006,0.001908826,0.0008339643,0.0005125515,0.005534349],"category_scores_gemma":[0.0006021357,0.000231813,0.0002555772,0.002848838,0.0003763725,0.0004059575,0.00128302,0.0008395136,0.0007883951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01789801,"about_ca_system_score_gemma":0.01169851,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9748594,"about_ca_topic_score_gemma":0.9939113,"domain_scores_codex":[0.999662,0.000007130528,0.000005191331,0.00003752867,0.0001168168,0.000171327],"domain_scores_gemma":[0.9994529,0.00002175313,0.00003052621,0.00002541125,0.0003043736,0.0001650815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003687204,0.0002743804,0.540094,0.0002672113,0.0002767986,0.001300742,0.009091578,0.008433794,0.01393554,0.007909227,0.2945922,0.1201374],"study_design_scores_gemma":[0.00002066996,0.00002281754,0.9367701,0.00003564694,0.00002936992,0.00005148833,0.001844981,0.0008973441,0.00110818,0.0002041285,0.05898509,0.00003012887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8991507,0.001755829,0.0002792208,0.00187921,0.0002342276,0.00005921202,0.03768576,0.000140949,0.05881511],"genre_scores_gemma":[0.9532922,0.0006332885,0.0003237546,0.0001588436,0.00007117556,0.00002305115,0.02532683,0.0000703458,0.02010059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02514058,"threshold_uncertainty_score":0.1298597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004018054758607554,"score_gpt":0.1699349194200718,"score_spread":0.1659168646614643,"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."}}