{"id":"W6965173822","doi":"10.34848/hcm89p","title":"Boletines","year":2022,"lang":"es","type":"dataset","venue":"Repositorio Institucional E-DocUR (Universidad Del Rosario)","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Work (physics); Identification (biology); Product (mathematics); Context (archaeology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001096654,0.00196713,0.001464451,0.004541807,0.0013173,0.002855292,0.002514852,0.002092751,0.04803636],"category_scores_gemma":[0.007523751,0.0005330752,0.001220888,0.005996273,0.0004307607,0.0015764,0.00194632,0.001974251,0.05657923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002024719,"about_ca_system_score_gemma":0.003149436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06662968,"about_ca_topic_score_gemma":0.1349394,"domain_scores_codex":[0.9986086,0.0002487529,0.0001901543,0.0004109296,0.0003100126,0.0002315682],"domain_scores_gemma":[0.997843,0.0005319091,0.0002397882,0.0004951752,0.0006694382,0.0002206392],"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":[0.0001110229,0.00003020811,0.001718006,0.0008193415,0.00003558451,0.0000310548,0.00005607056,0.0001849811,0.0001071894,0.0005206073,0.9918129,0.004572926],"study_design_scores_gemma":[0.0001677702,0.00001701468,0.005930438,0.0004843471,0.00004523327,0.00005474406,0.0002176398,0.0004802223,0.0002412958,0.0006531559,0.9916804,0.00002780142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004306352,0.00025299,0.00006594429,0.0001308562,0.00005408216,0.00002682984,0.9971557,0.0003692181,0.001513747],"genre_scores_gemma":[0.0006687649,0.0001310671,0.0003380177,0.00005497858,0.00001074051,0.0001370069,0.9973868,0.0000613173,0.001211365],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9519637,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529098559638822,"score_gpt":0.2177242798366297,"score_spread":0.2024332942402415,"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."}}