{"id":"W2124776429","doi":"","title":"A Comparative Analytical and Observational Study of North American Databases on Unidentified Aerial Phenomena","year":2009,"lang":"en","type":"article","venue":"CNR SOLAR (Scientific Open-access Literature Archive and Repository) (University of Southampton)","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phenomenon; Witness; Geography; Population; Term (time); Field (mathematics); Cartography; Database; Physical geography; Geology; Economic geography; Demography; Computer science; Sociology; Physics; Law; Mathematics; Astronomy; Political 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000143389,0.0001616583,0.0003720166,0.0001389424,0.0006352869,0.00051493,0.0006496209,0.0000114926,0.00002416462],"category_scores_gemma":[0.00000295139,0.0001498265,0.00004509536,0.0005398674,0.0006389597,0.001062885,0.0003689659,0.000169654,0.000001042864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005022038,"about_ca_system_score_gemma":0.0000685511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008223259,"about_ca_topic_score_gemma":0.000167002,"domain_scores_codex":[0.9987115,0.0001277906,0.0001889105,0.0005364017,0.0002593325,0.0001760108],"domain_scores_gemma":[0.9990713,0.00008378991,0.0002750582,0.0003111203,0.0001107193,0.0001480381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001104236,0.001911464,0.9361641,0.00003272891,0.0002737333,0.00004205426,0.04999472,0.0002398039,0.002735511,0.002339154,0.001373092,0.003789387],"study_design_scores_gemma":[0.0008494816,0.0006565726,0.987475,0.00006229206,0.00007108826,0.000001837299,0.008422316,0.001268873,0.0001480786,0.00009151189,0.0007562597,0.0001966312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967368,0.00001725872,0.0007218497,0.00003480123,0.0001411996,0.0003407577,0.0006097348,0.000006322866,0.001391238],"genre_scores_gemma":[0.9983188,0.000001505728,0.0005398438,0.00001124441,0.00007132128,3.838382e-7,0.0004500179,0.000002715812,0.0006041995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05131095,"threshold_uncertainty_score":0.6109746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0588679080949011,"score_gpt":0.297184757182417,"score_spread":0.2383168490875159,"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."}}