{"id":"W7051563381","doi":"","title":"Pearl River S and T Nova Program of Guangzhou[201610010014]","year":2018,"lang":"en","type":"other","venue":"Institutional Repository of Guangzhou Institute of Energy Research, Chinese Academy of Sciences","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pearl; Nova (rocket); Nova scotia; Hydrology (agriculture)","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008945491,0.0003204528,0.000672684,0.0008463432,0.0003316547,0.00002329781,0.0009428788,0.0002398342,0.000183631],"category_scores_gemma":[0.00006427826,0.000249225,0.0001660632,0.001067485,0.013365,0.0004820277,0.0003619595,0.000295669,0.000008623439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002843263,"about_ca_system_score_gemma":0.0007896826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003644047,"about_ca_topic_score_gemma":0.0000416689,"domain_scores_codex":[0.9966437,0.00008781329,0.0008029015,0.0005241317,0.001515125,0.0004263442],"domain_scores_gemma":[0.9984702,0.0001009251,0.0007595904,0.0002040372,0.0003155307,0.000149657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008283473,0.003416299,0.4184302,0.003168492,0.002424278,0.00002556689,0.001907,0.0007897097,0.1265152,0.3134097,0.04456156,0.08452365],"study_design_scores_gemma":[0.002958586,0.001721361,0.1283738,0.005325518,0.0001644269,0.00004355913,0.0002113219,0.001510286,0.2033058,0.0133138,0.6414769,0.001594629],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6796647,0.001120941,0.00004568435,0.00004521762,0.0003987576,0.0002705202,0.00007234692,0.00002722798,0.3183546],"genre_scores_gemma":[0.9804882,0.0001391279,0.002965175,0.000005230624,0.0005906358,0.00002953177,0.00001617938,0.00003863347,0.01572724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5969153,"threshold_uncertainty_score":0.999996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04988925282134197,"score_gpt":0.3618041992421328,"score_spread":0.3119149464207908,"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."}}