{"id":"W3157763047","doi":"","title":"Creating A Fitting Algorithm for Exoplanet Detection","year":2018,"lang":"en","type":"article","venue":"URSCA Proceedings","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Exoplanet; Telescope; Transit (satellite); Stars; Planet; Computer science; Identification (biology); Physics; Astronomy; Engineering","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":[0.002501912,0.001687374,0.00135327,0.003051898,0.001672093,0.002884742,0.002778089,0.002651056,0.01241743],"category_scores_gemma":[0.01080939,0.001141571,0.002143905,0.002496126,0.0008909905,0.00358939,0.002537122,0.003111955,0.0151593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112006,"about_ca_system_score_gemma":0.00161793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004684139,"about_ca_topic_score_gemma":0.003165868,"domain_scores_codex":[0.9976153,0.0002494941,0.0001765537,0.0008250467,0.000919955,0.0002135929],"domain_scores_gemma":[0.9971855,0.0006157887,0.000224672,0.0004074074,0.001463159,0.0001033436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001702936,0.0001272932,0.004625983,0.0002139316,0.00009903798,0.0002162704,0.0003379565,0.06376306,0.01658414,0.01234322,0.01965463,0.8818642],"study_design_scores_gemma":[0.00003958867,0.0001116539,0.002035142,0.0000854922,0.00004225101,0.0005101434,0.0002877568,0.9017308,0.02009652,0.02394862,0.05102714,0.00008485901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003058693,0.0001297097,0.9900146,0.0001276256,0.00009250584,0.0000611946,0.0001025769,0.00512095,0.001292167],"genre_scores_gemma":[0.03499052,0.000221144,0.9567845,0.0001783675,0.00006449462,0.0001593632,0.0008680786,0.001934994,0.004798589],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01241743,"threshold_uncertainty_score":0.04154044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189087949293133,"score_gpt":0.2344134010888487,"score_spread":0.2225225215959174,"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."}}