{"id":"W2777910601","doi":"","title":"LIGHT CURVE AND ORBITAL PERIOD ANALYSIS OF VX LAC","year":2017,"lang":"es","type":"article","venue":"NPARC","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics; Light curve; Orbital period; Period (music); Astrophysics; Astronomy; Stars","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002556294,0.0001337152,0.0001675759,0.002176442,0.0004123989,0.0006838181,0.0001641183,0.0001653646,0.001162688],"category_scores_gemma":[0.0006059408,0.00005867228,0.0001415507,0.00122352,0.0001969222,0.0002170569,0.000243179,0.0001806348,0.0003819426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003654053,"about_ca_system_score_gemma":0.0002308239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006409464,"about_ca_topic_score_gemma":0.006357838,"domain_scores_codex":[0.9998522,0.00001484664,0.000007788901,0.0000473494,0.00004269963,0.00003518806],"domain_scores_gemma":[0.9995267,0.00005018487,0.000106195,0.00006336144,0.0001745233,0.00007897816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003565123,0.00007657468,0.7467633,0.00007045938,0.00004580361,0.000441086,0.0009778492,0.001322216,0.180394,0.0009598972,0.000775585,0.06781682],"study_design_scores_gemma":[0.000003514118,0.00006152814,0.9830033,0.000003620233,0.00001170606,0.0002302747,0.0001989683,0.002330518,0.01129753,0.0001175716,0.002730446,0.00001096227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953914,0.00009158602,0.001072044,0.00001254135,0.000005805187,0.00001030032,0.0003703988,0.00007859406,0.002967329],"genre_scores_gemma":[0.9962409,0.00004484892,0.001572071,0.000007413546,0.000007683296,0.000005262881,0.0008618936,0.00003136347,0.001228541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006409464,"threshold_uncertainty_score":0.01274431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855249824292875,"score_gpt":0.2581400255991257,"score_spread":0.2395875273561969,"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."}}