{"id":"W4406802150","doi":"10.1007/s10950-025-10279-y","title":"Improved earthquake locations through a new 1-D P-wave velocity model for the Isthmus of Panama using particle swarm optimization method","year":2025,"lang":"en","type":"article","venue":"Journal of Seismology","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Secretaría Nacional de Ciencia, Tecnología e Innovación","keywords":"Panama; Particle swarm optimization; Seismology; Geology; Structural geology; Hydrogeology; Geodesy; Earthquake swarm; Particle velocity; Geophysics; Physics; Computer science; Mechanics; Mathematics; Algorithm; Induced seismicity; Geotechnical engineering; Statistics","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":[0.0001717287,0.0007069787,0.0006960887,0.000349742,0.0005046548,0.0007834089,0.0008008723,0.001161797,0.001172103],"category_scores_gemma":[0.0005865912,0.0005509739,0.0005409353,0.000466725,0.0002638562,0.0007681238,0.0004882777,0.0006681908,0.0002271988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004401476,"about_ca_system_score_gemma":0.0008976399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03729636,"about_ca_topic_score_gemma":0.02163037,"domain_scores_codex":[0.9999276,0.00001596508,0.000006226179,0.00002943408,0.0000120581,0.000008668828],"domain_scores_gemma":[0.9998809,0.00003304746,0.00002263163,0.00001226865,0.00003883058,0.00001221782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008367424,0.00001090648,0.0006074753,0.000009015138,0.00001080945,0.000029236,0.00001187299,0.9947264,0.0005326224,0.0002560181,0.0000998587,0.003697497],"study_design_scores_gemma":[0.000002365045,0.000003010351,0.0001155187,7.533454e-7,0.000002567058,0.000001386952,0.000001836742,0.9997211,0.00004023789,0.00005511314,0.00005457281,0.000001484368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3209275,0.000464253,0.6689836,0.0004469042,0.0001801421,0.0000795502,0.000466414,0.0008660168,0.007585534],"genre_scores_gemma":[0.9613544,0.0001722265,0.03634158,0.00003813311,0.00003372946,0.00007324472,0.0002401748,0.00005912404,0.001687351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03729636,"threshold_uncertainty_score":0.07415855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06771637850610839,"score_gpt":0.3073246738392328,"score_spread":0.2396082953331244,"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."}}