{"id":"W2341077198","doi":"10.14288/1.0223377","title":"The underdog world","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Politics and Society in Latin America","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer 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":[0.0006533458,0.0003380964,0.0003119049,0.001029082,0.008166713,0.008406548,0.0004229985,0.0007759979,0.01769918],"category_scores_gemma":[0.0009534981,0.0001203858,0.0001526443,0.001408027,0.01048416,0.004196125,0.008146422,0.001385022,0.001190375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002184593,"about_ca_system_score_gemma":0.002657122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0182672,"about_ca_topic_score_gemma":0.03766118,"domain_scores_codex":[0.9990534,0.0003046244,0.00002294763,0.0001283251,0.0001276656,0.0003629226],"domain_scores_gemma":[0.9993528,0.00007482506,0.00008958735,0.00009854526,0.00008947244,0.000294861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004655975,0.00005296212,0.01508794,0.0001604685,0.00001970541,0.001241169,0.3597293,0.00005944915,0.002148768,0.4863222,0.04825863,0.08687274],"study_design_scores_gemma":[0.000002967289,0.00001944284,0.006133622,0.000145012,0.000005893235,0.0002816176,0.1456894,0.00002181931,0.0001363773,0.009818252,0.8377355,0.00001001212],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2404112,0.005623687,0.001219184,0.01238362,0.0005592667,0.00006561467,0.0002423948,0.00007029525,0.7394246],"genre_scores_gemma":[0.8915467,0.003805419,0.0005685829,0.003669171,0.0001493724,0.00006368407,0.0001567518,0.0001026224,0.09993763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0182672,"threshold_uncertainty_score":0.05920964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03365767685846913,"score_gpt":0.3509349836061561,"score_spread":0.3172773067476869,"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."}}