{"id":"W4386528033","doi":"10.54097/ajst.v7i1.10993","title":"Study on the Relationship between F10.7 Index and Background X-ray Flux at Different Time Points","year":2023,"lang":"en","type":"article","venue":"Academic Journal of Science and Technology","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Flux (metallurgy); Positive correlation; Satellite; Correlation; Physics; Correlation coefficient; Negative correlation; Environmental science; Atmospheric sciences; Mathematics; Statistics; Materials science; Computer science; Astronomy; Geometry; Medicine; Internal medicine","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":[0.0003366381,0.0003014823,0.0002664954,0.001343816,0.000268282,0.0005011925,0.0001924995,0.0003546226,0.000707677],"category_scores_gemma":[0.001241951,0.00008862889,0.000305586,0.0012955,0.000147322,0.0004804843,0.0002006859,0.0003469778,0.000284528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000306971,"about_ca_system_score_gemma":0.0002555762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007139766,"about_ca_topic_score_gemma":0.007502545,"domain_scores_codex":[0.9997868,0.00001505295,0.00001736414,0.00007188211,0.00006298831,0.00004592871],"domain_scores_gemma":[0.9989821,0.0002957763,0.0002637306,0.00006390911,0.0003081001,0.00008626739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001499034,0.00004473305,0.9631485,0.00006555122,0.0001436607,0.0003132877,0.0001596299,0.002502739,0.006895587,0.000246585,0.0008140926,0.02551586],"study_design_scores_gemma":[0.000002384926,0.00003619017,0.9928369,0.000007160165,0.00003051124,0.0001790984,0.0001050613,0.003674677,0.001592031,0.00008842497,0.001435711,0.00001182587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916362,0.0007207586,0.003194346,0.0000773655,0.00005764397,0.00001521556,0.001143933,0.00007625764,0.00307842],"genre_scores_gemma":[0.9952361,0.0002579108,0.001181144,0.00002146703,0.00004064742,0.00001123398,0.002358976,0.00002685837,0.0008655657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007139766,"threshold_uncertainty_score":0.01419646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03943327819978715,"score_gpt":0.301317479186667,"score_spread":0.2618842009868799,"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."}}