{"id":"W36773965","doi":"10.1111/ele.14177","title":"Premios IMSERSO \"Infanta Cristina 2003\"","year":2003,"lang":"en","type":"article","venue":"Sesenta y más","topic":"Social Sciences and Policies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Ecological Analysis and Synthesis; Natural Sciences and Engineering Research Council of Canada","keywords":"Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0009990009,0.0006103293,0.0004129878,0.001310622,0.001529891,0.001679193,0.0007840377,0.0008858931,0.04722907],"category_scores_gemma":[0.002328015,0.00022597,0.0004350067,0.00109037,0.000492604,0.0005794485,0.001345068,0.001045731,0.0111038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146137,"about_ca_system_score_gemma":0.001034184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01978797,"about_ca_topic_score_gemma":0.0409641,"domain_scores_codex":[0.9996266,0.00009349873,0.00001587496,0.00009566305,0.00009667005,0.00007167709],"domain_scores_gemma":[0.9990438,0.0002607619,0.0002027027,0.0001347227,0.0002128609,0.0001452669],"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":[0.0007090326,0.0001450714,0.04433931,0.001238431,0.0001045393,0.001999891,0.004032527,0.0006923876,0.00427545,0.03760177,0.3033479,0.6015136],"study_design_scores_gemma":[0.00001948396,0.00004440319,0.04302242,0.0002866069,0.00002278351,0.0006777924,0.0005377864,0.0003089797,0.0007831021,0.00194985,0.9523307,0.00001613031],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1623801,0.04706801,0.008475823,0.0395959,0.008636258,0.0003288244,0.0170852,0.003046753,0.7133831],"genre_scores_gemma":[0.4636342,0.02540598,0.01177083,0.004662608,0.005000963,0.0003662331,0.008779948,0.0007331962,0.479646],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04722907,"threshold_uncertainty_score":0.157997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03394416041215978,"score_gpt":0.36889475125289,"score_spread":0.3349505908407302,"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."}}