{"id":"W6946633664","doi":"10.35078/roypyn/59fp2o","title":"Divisa Nova B.jpg","year":2022,"lang":"en","type":"dataset","venue":"Repositório 1 da Fiocruz","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova (rocket); Natural (archaeology); Metis; Dingo","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":[0.0009994812,0.002190818,0.002315775,0.004967578,0.0009868531,0.005017061,0.003593566,0.002175688,0.3327915],"category_scores_gemma":[0.008860662,0.000913939,0.001362986,0.007513646,0.0005347283,0.002863701,0.003457059,0.001647393,0.4384876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314681,"about_ca_system_score_gemma":0.001869221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0250364,"about_ca_topic_score_gemma":0.02535239,"domain_scores_codex":[0.9990958,0.0001482218,0.00007806406,0.0003533703,0.0001597342,0.0001648544],"domain_scores_gemma":[0.9980043,0.0004980381,0.0001739755,0.0006889578,0.0003493617,0.0002853352],"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":[0.00003243554,0.00000538738,0.0002661481,0.0004203414,0.00001638443,0.000008277883,0.00001432428,0.00008882539,0.00003812169,0.0005410287,0.9964257,0.00214293],"study_design_scores_gemma":[0.00009285291,0.000006337609,0.001113803,0.0003249659,0.0000119916,0.0000236211,0.00002884734,0.0001928781,0.00008549305,0.001509852,0.9965922,0.00001714276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003020477,0.00006019644,0.00005700567,0.00007910258,0.00003516438,0.000004083018,0.9970633,0.001187188,0.001483575],"genre_scores_gemma":[0.0003756985,0.0001027305,0.0002483891,0.00007263543,0.00001893643,0.00004364883,0.9974449,0.0005822384,0.001110839],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3327915,"threshold_uncertainty_score":0.951692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0374092554399805,"score_gpt":0.2712228102035327,"score_spread":0.2338135547635522,"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."}}