{"id":"W268432590","doi":"","title":"ExploraVision: Extracurricular Research and Development","year":2009,"lang":"en","type":"article","venue":"The Science Teacher","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CONTEST; Competition (biology); Process (computing); Psychology; Computer science; Mathematics education; Political science","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":[0.01433965,0.001789611,0.0006678486,0.002521141,0.002157475,0.01238533,0.004933229,0.001307133,0.1062215],"category_scores_gemma":[0.01282387,0.0008447961,0.001133022,0.002654469,0.001982734,0.003827208,0.01308816,0.002697668,0.07348882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003447522,"about_ca_system_score_gemma":0.01231041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003547277,"about_ca_topic_score_gemma":0.007494376,"domain_scores_codex":[0.9895546,0.00270969,0.0003346164,0.001336471,0.004443162,0.001621367],"domain_scores_gemma":[0.9786602,0.001626204,0.0006834341,0.00268616,0.00432528,0.01201886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002865315,0.0004758057,0.002321791,0.0003236989,0.00002805981,0.000197107,0.002193397,0.0004902616,0.004758241,0.02325662,0.6437747,0.3218936],"study_design_scores_gemma":[0.00005096355,0.0002010115,0.002309914,0.0001064832,0.000006816584,0.0001554547,0.0009112317,0.0003169982,0.001408408,0.002837698,0.9916717,0.00002318772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02454145,0.003191469,0.09404404,0.01572507,0.00579635,0.002397404,0.006545214,0.01817447,0.8295845],"genre_scores_gemma":[0.07180893,0.003050518,0.08225269,0.001884145,0.0009746125,0.002549548,0.01293029,0.01024642,0.8143027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1062215,"threshold_uncertainty_score":0.3553463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1064277821241266,"score_gpt":0.382141308157365,"score_spread":0.2757135260332384,"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."}}