{"id":"W3120411928","doi":"10.1088/1361-6552/abdae7","title":"Project ThaiPASS: international outreach blending astronomy and Python","year":2021,"lang":"en","type":"article","venue":"Physics Education","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Facilities Council; Magyar Tudományos Akadémia; University of Hull; Division of Physics; Magyar Tudományos Akadémia Számítástechnikai és Automatizálási Kutatóintézet; University of Victoria; National Science Foundation","keywords":"Outreach; Python (programming language); Context (archaeology); Science education; Physics education","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.01029009,0.001002681,0.0003745919,0.0008842887,0.002636702,0.003919146,0.001876991,0.001152999,0.04054532],"category_scores_gemma":[0.01205514,0.0004779208,0.0006323137,0.0008603746,0.002503526,0.00410057,0.01683546,0.002588105,0.01066145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001390414,"about_ca_system_score_gemma":0.009802349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003534736,"about_ca_topic_score_gemma":0.006343882,"domain_scores_codex":[0.9921877,0.004104412,0.0002165889,0.0007395872,0.001231527,0.001520169],"domain_scores_gemma":[0.979956,0.003069959,0.0006324582,0.00199908,0.002824664,0.01151774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001615446,0.00370081,0.0279577,0.002259689,0.00008621997,0.001506503,0.06396513,0.003599905,0.02367761,0.0206023,0.3200867,0.5309418],"study_design_scores_gemma":[0.0002706178,0.001816485,0.01575312,0.0006467412,0.00003238721,0.0009226768,0.03108707,0.003995749,0.008329051,0.01040973,0.9266045,0.0001318224],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4061263,0.001188061,0.2591033,0.0211868,0.003412829,0.009617793,0.008999204,0.03732154,0.2530442],"genre_scores_gemma":[0.6050848,0.0008828881,0.2429011,0.005947472,0.0004062279,0.00773031,0.01160529,0.007665623,0.1177762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04054532,"threshold_uncertainty_score":0.1356376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02168967744592088,"score_gpt":0.3064404083366399,"score_spread":0.2847507308907191,"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."}}