{"id":"W1669999906","doi":"","title":"MELILOTUS ALBUS MEDICUS, UNA LEGUMINOSA DE USO MÚLTIPLE PARA LAS TIERRAS CALIZAS DE LA ESPAÑA SECA*","year":2011,"lang":"es","type":"article","venue":"POLI-RED (Revistas Digitales Politécnicas) (La Universidad Politécnica de Madrid)","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":"Humanities; Geography; Art","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":[0.0005188863,0.0006440179,0.0002353076,0.0007012552,0.0003927864,0.0008396847,0.0003608297,0.0003822857,0.002338144],"category_scores_gemma":[0.0001341484,0.0001189016,0.0002939605,0.000595272,0.000230381,0.0003126635,0.0003726089,0.0002784127,0.0007722287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101275,"about_ca_system_score_gemma":0.0006366725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01232113,"about_ca_topic_score_gemma":0.04990203,"domain_scores_codex":[0.9998511,0.00002269748,0.000009459588,0.00004994034,0.00004129423,0.00002561969],"domain_scores_gemma":[0.9997873,0.00002635793,0.00003768591,0.00002137841,0.00009323796,0.00003419767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000266579,0.0000790074,0.01585025,0.00028272,0.0000489321,0.0002151711,0.0001822638,0.0002797868,0.8952337,0.0002701219,0.0003655351,0.08692593],"study_design_scores_gemma":[0.00007623632,0.003029633,0.4772186,0.0003483388,0.0003367016,0.001121278,0.00179223,0.002379865,0.3459223,0.0006613739,0.1670603,0.00005317627],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700699,0.006731712,0.005386289,0.0003025251,0.00006183723,0.00008399683,0.0007488909,0.0002195215,0.01639522],"genre_scores_gemma":[0.9673632,0.003209039,0.01196404,0.0002089303,0.0000187461,0.00003805204,0.0008652841,0.00004733129,0.01628532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01232113,"threshold_uncertainty_score":0.02449888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0296572603985048,"score_gpt":0.2657208620658268,"score_spread":0.236063601667322,"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."}}