{"id":"W4389253643","doi":"10.1353/sub.2023.a913893","title":"Wandering the Magnetosphere","year":2023,"lang":"en","type":"article","venue":"SubStance","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Magnetosphere; Computer science; Energy (signal processing); Resolution (logic); Computer graphics (images); Physics; Artificial intelligence","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":[0.0002526604,0.0004931634,0.0001667372,0.0005397553,0.002691092,0.003105995,0.0003207141,0.0008684811,0.06670425],"category_scores_gemma":[0.0009660319,0.0002580507,0.0002177141,0.0005518981,0.001406279,0.003124571,0.001900529,0.002012234,0.02271094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358713,"about_ca_system_score_gemma":0.0007639876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009972938,"about_ca_topic_score_gemma":0.02353372,"domain_scores_codex":[0.99984,0.00003087745,0.000004365609,0.00004823805,0.00004387051,0.00003258038],"domain_scores_gemma":[0.9998263,0.00003110222,0.00001214204,0.0000182489,0.00003922671,0.00007306203],"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":[0.00002660828,0.000003781899,0.0003057758,0.00005157186,0.00000250843,0.00008122095,0.001393821,0.00008209086,0.0004351524,0.02291282,0.915404,0.05930077],"study_design_scores_gemma":[0.000001524,0.000004584869,0.0003460396,0.00004579256,0.000001240116,0.00007410168,0.0006130441,0.00001848287,0.0001175248,0.002352607,0.9964211,0.000003937731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01106601,0.02153153,0.003822968,0.08760618,0.01693405,0.00002968677,0.0009024643,0.001263295,0.8568438],"genre_scores_gemma":[0.06935202,0.01087911,0.00187461,0.008096479,0.002256852,0.00002490643,0.0004800842,0.0008584773,0.9061775],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06670425,"threshold_uncertainty_score":0.2231479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153686566238028,"score_gpt":0.1940547783236542,"score_spread":0.1786861216998514,"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."}}