{"id":"W2472995920","doi":"","title":"Estatus de Coronella austriaca en Sierra Nevada (SE Península Ibérica)","year":2012,"lang":"es","type":"article","venue":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","topic":"Mediterranean and Iberian flora and fauna","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Forestry","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":[0.0004027153,0.0002860228,0.0002928547,0.001865961,0.001011643,0.0003865396,0.0003276446,0.0003102104,0.004119404],"category_scores_gemma":[0.0006299759,0.0001420654,0.0001684874,0.001198837,0.0004186296,0.0002188201,0.0007442918,0.0002838144,0.001236453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450881,"about_ca_system_score_gemma":0.000666756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2912392,"about_ca_topic_score_gemma":0.6910268,"domain_scores_codex":[0.9998366,0.00002027169,0.00001479256,0.00006316524,0.0000338495,0.00003134612],"domain_scores_gemma":[0.9994222,0.00007359288,0.0002529052,0.00004427555,0.0001340649,0.00007303119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001203492,0.0001010893,0.8417921,0.0004981784,0.0002283793,0.0007305142,0.003990833,0.001094062,0.007805815,0.001142183,0.02011414,0.1212993],"study_design_scores_gemma":[0.00001168286,0.00002271503,0.9722847,0.0001379523,0.00003168607,0.0001322752,0.001268842,0.00009075143,0.0002835048,0.00006189755,0.02566542,0.000008609557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258507,0.00426895,0.0004468421,0.00011522,0.0001021299,0.0001312405,0.01783839,0.000147071,0.05109956],"genre_scores_gemma":[0.9544378,0.001670174,0.002756159,0.000101073,0.00003134434,0.0001977671,0.01491582,0.00003915062,0.02585075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2912392,"threshold_uncertainty_score":0.579088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2725156682227269,"score_gpt":0.3626969456554554,"score_spread":0.09018127743272852,"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."}}