{"id":"W7030673159","doi":"","title":"Nova central nuclear pode ficar às margens do Rio São Francisco","year":2013,"lang":"pt","type":"other","venue":"Institutional Digital Library (Federal Senate)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova (rocket); Work (physics); Nova scotia; Term (time)","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":[],"consensus_categories":[],"category_scores_codex":[0.000464356,0.0007234708,0.0004236674,0.001276624,0.003094019,0.002837936,0.0007191029,0.001175679,0.2186337],"category_scores_gemma":[0.00205846,0.0003246153,0.0003264548,0.001383925,0.0006447896,0.0009498178,0.001409407,0.001251653,0.05228135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002971753,"about_ca_system_score_gemma":0.004970108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1852599,"about_ca_topic_score_gemma":0.4039163,"domain_scores_codex":[0.9997373,0.00002230966,0.000006985872,0.0000711098,0.0001014097,0.00006076986],"domain_scores_gemma":[0.9993892,0.00008940959,0.00004914052,0.00009215649,0.000254175,0.0001260202],"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":[0.0002451394,0.00009583359,0.008234119,0.0005394422,0.00002568724,0.0005712401,0.001090528,0.0003076136,0.001528908,0.03349868,0.7553185,0.1985443],"study_design_scores_gemma":[0.00001254651,0.00001206743,0.006093294,0.0001235384,0.000006762734,0.00009849911,0.000494965,0.00006291073,0.0003184273,0.0006070737,0.9921631,0.000006688665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01387507,0.002268634,0.001077755,0.003852757,0.001049551,0.0001836734,0.009020055,0.001412499,0.96726],"genre_scores_gemma":[0.0226208,0.001679225,0.001379856,0.0003795972,0.00008378318,0.00007160289,0.003381283,0.0003592308,0.9700445],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2186337,"threshold_uncertainty_score":0.7314025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335156123524919,"score_gpt":0.171095836976044,"score_spread":0.1477442757407948,"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."}}