{"id":"W4393768287","doi":"10.5281/zenodo.8208531","title":"bubble trajectories dataset","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Bubble; Computer science; Geography; Physics; Mechanics","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":[0.0008622634,0.002966431,0.00154169,0.002970363,0.0008778768,0.001632562,0.002868798,0.002999906,0.02308931],"category_scores_gemma":[0.003868847,0.0006253753,0.001643801,0.004154651,0.0005232951,0.001169778,0.001936837,0.002020182,0.03688252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258498,"about_ca_system_score_gemma":0.002498975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02665226,"about_ca_topic_score_gemma":0.0495091,"domain_scores_codex":[0.998973,0.0001393302,0.0001202725,0.0003225696,0.0003225886,0.0001222189],"domain_scores_gemma":[0.9982485,0.0005194792,0.000155897,0.0004422714,0.0004510286,0.0001829376],"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":[0.0001592687,0.00009264689,0.001492437,0.001249596,0.00009361338,0.0001010877,0.00004183512,0.002158549,0.0006785195,0.0008938032,0.9865223,0.006516227],"study_design_scores_gemma":[0.000532499,0.0001154127,0.009544102,0.0003937164,0.0001212736,0.0002935926,0.0001657051,0.007982472,0.002295523,0.003371692,0.9750617,0.0001223755],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006242618,0.000162644,0.000391444,0.00008302758,0.00005054705,0.00003136677,0.9966248,0.001283237,0.0007486667],"genre_scores_gemma":[0.000864179,0.00006034458,0.000673386,0.00002979875,0.000005867549,0.00006776879,0.9979007,0.00006256939,0.0003353994],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02665226,"threshold_uncertainty_score":0.07724148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1893481385863007,"score_gpt":0.3680963912490741,"score_spread":0.1787482526627734,"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."}}