{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002218339,0.00007528639,0.0001135934,0.000005748819,0.00256202,0.00009285803,0.002053692,0.00002965202,0.0001396821],"category_scores_gemma":[0.0006389227,0.00003467362,0.0002026492,0.0001687852,0.001847145,0.0001137685,0.0002025344,0.000402944,6.75303e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001289823,"about_ca_system_score_gemma":0.01713112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9650521,"about_ca_topic_score_gemma":0.9979721,"domain_scores_codex":[0.997535,0.00006693394,0.0003164516,0.00009626615,0.001583652,0.0004016912],"domain_scores_gemma":[0.9982796,0.0006070919,0.0004142354,0.0001791539,0.0003117926,0.0002081777],"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":[0.00004170857,0.00002718791,0.07950197,0.000002255379,0.0000812975,7.504034e-7,0.001322078,0.007688112,0.0009747677,0.01060496,0.8967955,0.002959478],"study_design_scores_gemma":[0.000189301,0.00001762587,0.2270339,0.00001039173,0.00001582643,0.000001080193,0.003837447,0.0009424664,0.001889851,0.0005487266,0.7654159,0.00009747463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9170445,0.0000349217,0.000008963736,0.076555,0.00187859,0.00006838307,0.000005738174,0.000001246233,0.00440265],"genre_scores_gemma":[0.9944707,0.000001849817,0.000107592,0.0008089085,0.0004242603,8.183378e-7,6.798348e-8,0.000003062949,0.004182771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1475319,"threshold_uncertainty_score":0.9987365,"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."}}