{"id":"W7058902291","doi":"","title":"Kids With a Cause","year":2010,"lang":"en","type":"article","venue":"WBI Studies Repository","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nothing; Politics; Outreach; Ridiculous; Welfare; Midnight; Legislator; Shot (pellet)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000367718,0.0001176343,0.0001375966,0.00003611281,0.00006935562,0.00001473842,0.0000868401,0.00006411996,0.00001441943],"category_scores_gemma":[0.00001910123,0.00009379991,0.00002278817,0.00006036093,0.00009593175,0.0000366942,0.00002962412,0.00023741,0.000007949135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001680828,"about_ca_system_score_gemma":0.000006531152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000210649,"about_ca_topic_score_gemma":0.0001024372,"domain_scores_codex":[0.9994951,0.000007316833,0.0001168201,0.0001195603,0.0001071108,0.0001540987],"domain_scores_gemma":[0.9995565,0.00004254627,0.00001442952,0.0002967496,0.00005074788,0.00003904694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004017869,0.00008136691,0.01415182,0.0005814189,0.001042129,0.0008889228,0.009078693,0.0001957676,0.7935337,0.002338571,0.1692138,0.008853584],"study_design_scores_gemma":[0.0008181185,0.0006747437,0.02593711,0.000171585,0.0002397987,0.0007329473,0.001537977,0.001439786,0.7473645,0.0003871349,0.2191734,0.001522948],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.900955,0.00073732,0.0001085816,0.00006656676,0.0008469005,0.0001348106,5.381543e-7,0.001051676,0.09609863],"genre_scores_gemma":[0.9928995,0.0000881784,0.004454075,0.00003607254,0.0002041221,0.00004339598,2.737844e-7,0.00002433659,0.002250048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09384859,"threshold_uncertainty_score":0.3825049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00718807139810919,"score_gpt":0.2237396539436757,"score_spread":0.2165515825455665,"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."}}