{"id":"W6943684854","doi":"10.15468/rtuq0g","title":"Caracterizando la diversidad de especies con códigos de barras del ADN en un grupo de avispas parasitoides: un caso de estudio en un área natural protegida mexicana","year":2016,"lang":"es","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Biodiversity; Species richness; Index of biological integrity","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":[0.0001845909,0.0001691385,0.00021123,0.0004747565,0.0005452558,0.0005660747,0.0002048914,0.0002764213,0.001047138],"category_scores_gemma":[0.0002381604,0.0001463267,0.0001324233,0.0004346912,0.0003923426,0.0002710365,0.0003800142,0.0002842325,0.0001451068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004796567,"about_ca_system_score_gemma":0.0002606388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01683227,"about_ca_topic_score_gemma":0.05840349,"domain_scores_codex":[0.9998266,0.00001803563,0.000006100644,0.0000780866,0.00003820572,0.00003291002],"domain_scores_gemma":[0.9997725,0.00002626437,0.00008390072,0.00001523688,0.0000484458,0.00005373139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004069105,0.0000751018,0.7220894,0.0001277972,0.00004694711,0.000136953,0.002594352,0.00007977021,0.2651528,0.00008559645,0.00008179674,0.009122521],"study_design_scores_gemma":[0.000001387642,0.00007262896,0.9967731,0.000005487801,0.00001036732,0.0000566918,0.0008485309,0.00006931123,0.001545323,0.00001200254,0.0006029234,0.000002252026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9990296,0.0001591415,0.00009964299,0.000007641725,0.000001049936,0.000007852813,0.0001358992,0.000001961182,0.0005570856],"genre_scores_gemma":[0.99822,0.0001345254,0.0005451819,0.00001852594,0.000001342565,0.00002029539,0.0002015983,0.000001947067,0.0008564891],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01683227,"threshold_uncertainty_score":0.0334686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006875267810952592,"score_gpt":0.2237077965674345,"score_spread":0.2168325287564819,"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."}}