{"id":"W2981044009","doi":"","title":"Knowledge of astronomical scale: Measurement and evaluation","year":2019,"lang":"en","type":"article","venue":"Proceedings of The Australian Conference on Science and Mathematics Education","topic":"Animal and Plant Science Education","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Scale (ratio); Astronomy; Presentation (obstetrics); Limiting; Ranking (information retrieval); Astrometry; Data science; Computer science; Psychology; Physics; Geography; Stars; Engineering; Artificial intelligence; Cartography; Medicine","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":[0.05974579,0.0008418718,0.002101651,0.002857735,0.00133559,0.00226118,0.001559822,0.001450859,0.004551263],"category_scores_gemma":[0.09142055,0.0006843383,0.003319211,0.003039709,0.002514987,0.003235019,0.002422109,0.001874992,0.001412861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003799174,"about_ca_system_score_gemma":0.00537122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003527507,"about_ca_topic_score_gemma":0.004092673,"domain_scores_codex":[0.9592422,0.02051862,0.00517713,0.001551193,0.01211827,0.001392486],"domain_scores_gemma":[0.8975767,0.06594015,0.00980247,0.003905796,0.01752616,0.005248641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05310644,0.0599139,0.4269165,0.006031535,0.001852127,0.0003132553,0.01779489,0.002895965,0.002067853,0.002785041,0.008849898,0.4174726],"study_design_scores_gemma":[0.01211036,0.1288067,0.8135562,0.001909047,0.001944857,0.0003266573,0.01127171,0.009419163,0.005688394,0.002536817,0.01203277,0.0003973599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613341,0.0009446719,0.003706681,0.0004498958,0.0001753574,0.02210261,0.001172612,0.0001063905,0.01000762],"genre_scores_gemma":[0.9485883,0.001199262,0.01321636,0.0001949311,0.00007209639,0.03285333,0.001284661,0.00006126718,0.002529808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05974579,"threshold_uncertainty_score":0.3159697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1376488391276029,"score_gpt":0.3786565129432125,"score_spread":0.2410076738156096,"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."}}