{"id":"W1535345811","doi":"","title":"Introductory astronomy: setting goals and measuring achievements","year":2012,"lang":"en","type":"article","venue":"Proceedings of The Australian Conference on Science and Mathematics Education (formerly UniServe Science Conference)","topic":"Science Education and Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Astronomy; Unit (ring theory); Popularity; Variety (cybernetics); Quarter (Canadian coin); Population; Physics; Mathematics education; Psychology; Computer science; Geography; Sociology; Archaeology; Artificial intelligence; Demography","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":[0.005926679,0.0005617419,0.0004716696,0.003633284,0.001064793,0.002549659,0.0008178159,0.0007101436,0.002214662],"category_scores_gemma":[0.02271165,0.0003485151,0.000446909,0.003699461,0.001091992,0.001919248,0.002503196,0.001002909,0.001368786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239546,"about_ca_system_score_gemma":0.002212698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003845086,"about_ca_topic_score_gemma":0.004279911,"domain_scores_codex":[0.995464,0.001725015,0.0005492283,0.0002683895,0.001562701,0.0004306718],"domain_scores_gemma":[0.9800825,0.005038406,0.005474758,0.001250958,0.004737362,0.003416169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001317038,0.001129974,0.8433918,0.000288836,0.00008124644,0.00009799258,0.007629392,0.001252407,0.0009336327,0.00758496,0.006458092,0.13102],"study_design_scores_gemma":[0.00001357938,0.0005708457,0.9716282,0.00007785955,0.00002008743,0.00007724953,0.007558461,0.001532673,0.001672063,0.005022319,0.01178324,0.0000433816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9325957,0.000223933,0.01339761,0.0005417781,0.00005535403,0.001031654,0.00166022,0.0003410788,0.05015266],"genre_scores_gemma":[0.9552082,0.0002469061,0.03658886,0.0001172116,0.00002453341,0.001392248,0.001901785,0.00005989636,0.004460378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005926679,"threshold_uncertainty_score":0.0313437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1075626164772965,"score_gpt":0.3701731404817644,"score_spread":0.2626105240044679,"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."}}