{"id":"W4405857855","doi":"10.53368/ep66cepbed","title":"Sin biodiversidad no hay vida","year":2023,"lang":"es","type":"article","venue":"Ecología Política Cuadernos de debate internacional","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Political science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003213592,0.0006642535,0.0007387951,0.0008592951,0.001429509,0.0007037549,0.001696729,0.0007750799,0.004839612],"category_scores_gemma":[0.003330816,0.0007087447,0.0004841213,0.001673039,0.001334965,0.0006046311,0.0007513576,0.0009368616,0.01990629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002386951,"about_ca_system_score_gemma":0.001233529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003547562,"about_ca_topic_score_gemma":0.0008680652,"domain_scores_codex":[0.9929613,0.0012143,0.001253555,0.001151654,0.001388495,0.002030665],"domain_scores_gemma":[0.9959822,0.001158315,0.0005777772,0.0006939864,0.001117971,0.0004696945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004885384,0.001460225,0.3918455,0.0009371668,0.00122303,0.001520564,0.03771506,0.000296246,0.001820835,0.2143334,0.3444647,0.003894844],"study_design_scores_gemma":[0.002205247,0.0007145414,0.1422741,0.0003462773,0.0001799048,0.00006783482,0.01408758,0.005602992,0.0005828436,0.02209715,0.8101323,0.001709231],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9035415,0.0000745314,0.000129891,0.04895356,0.007460534,0.001262274,0.0003659523,0.0008651206,0.03734663],"genre_scores_gemma":[0.973918,0.0001095356,0.0001263437,0.001443752,0.002496167,0.0001067879,0.0001590835,0.00008222584,0.02155806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4656676,"threshold_uncertainty_score":0.9998705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972189672028937,"score_gpt":0.3241058899881571,"score_spread":0.3043839932678678,"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."}}