{"id":"W7017459170","doi":"","title":"ARRA Advanced Weatherization Training Center - Quarterly Report (January 2011-March 2011)","year":2011,"lang":"en","type":"article","venue":"Journal of International Crisis and Risk Communication Research","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Procurement; Training (meteorology); Center (category theory); Quarter (Canadian coin)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001814475,0.0003457821,0.0001999622,0.001424339,0.0008341601,0.00168526,0.0007153524,0.0007014734,0.06160603],"category_scores_gemma":[0.002663998,0.0002451716,0.0001585837,0.001486123,0.0001112947,0.0007876033,0.0005645857,0.0008441858,0.02882505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383351,"about_ca_system_score_gemma":0.006306408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06454396,"about_ca_topic_score_gemma":0.09158498,"domain_scores_codex":[0.998717,0.0001079757,0.00008009638,0.0000635093,0.0008530949,0.0001783966],"domain_scores_gemma":[0.9955199,0.0001901996,0.0002820659,0.0001218343,0.003555091,0.0003309881],"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":[0.0001303213,0.0001117815,0.003016778,0.0002401579,0.000007522615,0.00005503308,0.00008004747,0.0002889065,0.0007181396,0.0006612181,0.9633826,0.03130757],"study_design_scores_gemma":[0.00001808494,0.00008779578,0.06996705,0.0001075603,0.000009454277,0.00005643585,0.0005217584,0.00035558,0.001355962,0.0001450159,0.9273447,0.00003057273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.04789092,0.004824291,0.002954091,0.016555,0.004617974,0.001671221,0.5274345,0.003211302,0.3908408],"genre_scores_gemma":[0.07610844,0.004076944,0.005624182,0.00119677,0.0004939538,0.0009058791,0.2241532,0.0006253302,0.6868153],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.938394,"threshold_uncertainty_score":0.2060927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07897248288496,"score_gpt":0.3577949685110587,"score_spread":0.2788224856260987,"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."}}