{"id":"W7003100614","doi":"","title":"Caballo estupando","year":2006,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monster; Tribute; Creatures; Sketch","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000606497,0.0006139922,0.0006274458,0.001279785,0.003606702,0.003705001,0.0007210209,0.001236077,0.3889174],"category_scores_gemma":[0.003798676,0.0003360099,0.0003523297,0.001393788,0.0006957736,0.001750623,0.001581377,0.001919195,0.1386448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001504489,"about_ca_system_score_gemma":0.002021176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03475496,"about_ca_topic_score_gemma":0.1205859,"domain_scores_codex":[0.999414,0.00009072903,0.00001685596,0.0001579506,0.0002175806,0.0001030707],"domain_scores_gemma":[0.9987226,0.000265192,0.00006954183,0.000132782,0.0004869485,0.00032289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001579725,0.00004525892,0.001374043,0.0002250485,0.000008002293,0.0003261509,0.001859043,0.00004431409,0.0007658727,0.01233122,0.8456305,0.1372325],"study_design_scores_gemma":[0.000003876261,0.000006435987,0.00102704,0.00005918243,0.000003508863,0.00007874508,0.0005670037,0.00002571141,0.0001457934,0.0004167069,0.9976609,0.000005071339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007367557,0.004594175,0.001917447,0.01166853,0.004543622,0.0001289668,0.004828089,0.001842109,0.9631094],"genre_scores_gemma":[0.01445668,0.001483709,0.001271516,0.001577148,0.0002425678,0.00005570766,0.001116945,0.0004944006,0.9793013],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6110826,"threshold_uncertainty_score":0.8716351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00689883175332816,"score_gpt":0.1842489963023587,"score_spread":0.1773501645490305,"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."}}