{"id":"W4380722110","doi":"10.5281/zenodo.8040708","title":"COMPENDIO DE RESÚMENES DEL III TALLER DE GESTIÓN AMBIENTAL: \"RESILIENCIA ANTE EL CAMBIO CLIMÁTICO\"","year":2023,"lang":"es","type":"paratext","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental and Ecological Studies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","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":[0.001757717,0.001761157,0.0008050777,0.005264877,0.001013687,0.004144801,0.001436048,0.0009822545,0.03316147],"category_scores_gemma":[0.004374039,0.0006133196,0.0008451766,0.004011632,0.0007221279,0.002066599,0.00142733,0.001291028,0.01428236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001825036,"about_ca_system_score_gemma":0.002851662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02475422,"about_ca_topic_score_gemma":0.0336655,"domain_scores_codex":[0.9988365,0.0002028389,0.0001629333,0.0001378595,0.0005946289,0.00006534817],"domain_scores_gemma":[0.996631,0.0009359716,0.0002588364,0.0002688287,0.001737002,0.0001683902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001623194,0.0001825361,0.002804659,0.002664149,0.00005380651,0.0004424233,0.001633802,0.002841699,0.007145081,0.01202602,0.3961766,0.573867],"study_design_scores_gemma":[0.000003983786,0.00007523932,0.004840807,0.001160569,0.00002136798,0.0002254992,0.0003426557,0.0005516606,0.0009442607,0.001663878,0.9901415,0.00002863854],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.017282,0.1885156,0.1410821,0.0202538,0.03696992,0.001846211,0.02895552,0.005118188,0.5599766],"genre_scores_gemma":[0.05476065,0.1560223,0.05950521,0.004246505,0.007918334,0.001318557,0.03052737,0.00250952,0.6831916],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03316147,"threshold_uncertainty_score":0.1109362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03954349073202098,"score_gpt":0.2631029871987865,"score_spread":0.2235594964667655,"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."}}