{"id":"W4407266835","doi":"","title":"CURRENT EFFORTS OF THE IMPACT CRATERING COMMITTEE TO ESTABLISH AN IMPACT STRUCTURE LIST AND DATABASE.","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Database; Computer science","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":[0.02671417,0.001140335,0.001714421,0.02349775,0.003699193,0.00614899,0.004824884,0.002547058,0.08129127],"category_scores_gemma":[0.03120501,0.0008806298,0.001065239,0.01809798,0.0007623262,0.006713281,0.004822006,0.002703966,0.04927358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003958005,"about_ca_system_score_gemma":0.03029104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04540948,"about_ca_topic_score_gemma":0.02359302,"domain_scores_codex":[0.9885731,0.00162974,0.001608538,0.000882982,0.006417154,0.0008886243],"domain_scores_gemma":[0.903101,0.007757283,0.003730859,0.01025125,0.06487121,0.01028846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004179443,0.0002594441,0.008264457,0.0008384713,0.00004461204,0.0001008827,0.0003412903,0.002608145,0.003105894,0.009807619,0.7426615,0.2315497],"study_design_scores_gemma":[0.0000537122,0.0001091855,0.008275607,0.0005137145,0.00004747785,0.0001260095,0.0004157831,0.0034765,0.002222953,0.002330533,0.9823663,0.00006235991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02035202,0.01060335,0.1558956,0.04578197,0.007270268,0.01389925,0.3629303,0.0245829,0.3586844],"genre_scores_gemma":[0.03853086,0.007338862,0.1429621,0.004520555,0.001643796,0.004859007,0.6514985,0.004196433,0.1444499],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08129127,"threshold_uncertainty_score":0.2719464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722989972545586,"score_gpt":0.2645394858870828,"score_spread":0.2473095861616269,"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."}}