{"id":"W2990924127","doi":"","title":"The RASC at the Canada-Wide Science Fair","year":2010,"lang":"en","type":"article","venue":"Journal of the Royal Astronomical Society of Canada","topic":"International Science and Diplomacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002719328,0.000453316,0.0006178407,0.001241136,0.01737765,0.01188286,0.001556672,0.006819726,0.07774996],"category_scores_gemma":[0.006131998,0.0004666209,0.0006444802,0.001250716,0.002366338,0.002009647,0.003651022,0.007451772,0.01005218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04309468,"about_ca_system_score_gemma":0.1360876,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9220095,"about_ca_topic_score_gemma":0.9781447,"domain_scores_codex":[0.9961826,0.0001591837,0.00004022953,0.0003601438,0.001740597,0.00151716],"domain_scores_gemma":[0.9923206,0.0002132416,0.00007315342,0.000308934,0.002878415,0.004205658],"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":[0.0001238129,0.00004719302,0.002131305,0.00002350188,0.00001957349,0.0002629709,0.0003826873,0.0002101136,0.0004245238,0.04427364,0.9391257,0.01297497],"study_design_scores_gemma":[0.00002010874,0.00001099387,0.005452788,0.00002183647,0.000005085236,0.00001634367,0.0005071554,0.0001948637,0.0001323178,0.002488636,0.9911302,0.00001966286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03043883,0.003212107,0.001034633,0.1877948,0.01908635,0.0002462626,0.005326236,0.0007772091,0.7520835],"genre_scores_gemma":[0.08524422,0.0004344916,0.0007664403,0.01472292,0.0006581162,0.00004174101,0.0009655257,0.0001822726,0.8969843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9220095,"threshold_uncertainty_score":0.3126752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003955140812841912,"score_gpt":0.2315598637465549,"score_spread":0.227604722933713,"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."}}