{"id":"W7004894896","doi":"","title":"Pearl River S & T Nova Program in Guangzhou[201806010052]","year":2019,"lang":"en","type":"other","venue":"Institutional Repository of Guangzhou Institute of Energy Research, Chinese Academy of Sciences","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pearl; Nova (rocket); Nova scotia","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001347175,0.0004396955,0.0009872521,0.0006205654,0.0003052871,0.00003247997,0.001991932,0.0008621943,0.0001776082],"category_scores_gemma":[0.0003623822,0.0002030984,0.0003220142,0.002104963,0.009977537,0.0003824255,0.000525467,0.0006504984,0.00003569664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009393783,"about_ca_system_score_gemma":0.000408054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02206683,"about_ca_topic_score_gemma":0.003808884,"domain_scores_codex":[0.9952384,0.0002753195,0.001020263,0.0009345537,0.001817055,0.0007144294],"domain_scores_gemma":[0.9983839,0.000305839,0.0007300287,0.0001646514,0.0002389033,0.000176632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00129765,0.00585895,0.1316312,0.002028403,0.0008223148,0.0001185699,0.0006507379,0.001998258,0.502952,0.1069102,0.1070286,0.138703],"study_design_scores_gemma":[0.000488213,0.0007099122,0.07016461,0.001201264,0.00001827777,0.00003916609,0.00005502437,0.00009347049,0.002254073,0.001838068,0.922612,0.0005259585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.589531,0.004474123,0.000004118191,0.0005681303,0.001107221,0.0006612905,0.000175453,0.00008605669,0.4033926],"genre_scores_gemma":[0.9414228,0.0009098788,0.00117389,0.00005905493,0.00095573,0.00004965185,0.00008612268,0.0000157549,0.05532714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8155833,"threshold_uncertainty_score":0.9927167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08203407379743985,"score_gpt":0.3579108003156124,"score_spread":0.2758767265181725,"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."}}