{"id":"W6898995097","doi":"10.58079/b2ml","title":"Les fac-similés de codex mexicains de Guillermo M. Echániz","year":2020,"lang":"fr","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Spanish Linguistics and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Perspective (graphical); Relation (database); Feature (linguistics)","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":[],"category_scores_codex":[0.0003036022,0.0006029921,0.0006456698,0.000135142,0.001637719,0.0005859646,0.0007732554,0.000709911,0.007587482],"category_scores_gemma":[0.001311983,0.0006356282,0.0003897066,0.0003051125,0.0008973275,0.0002490845,0.0003414029,0.001304641,0.0002106232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006892224,"about_ca_system_score_gemma":0.0004185751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01554307,"about_ca_topic_score_gemma":0.002132156,"domain_scores_codex":[0.9970195,0.000273853,0.000425584,0.0006408264,0.000387096,0.001253095],"domain_scores_gemma":[0.9979398,0.0002852498,0.0002916334,0.0003320919,0.0004222806,0.000728985],"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":[0.0001187301,0.0001732825,0.0006430247,0.0001563872,0.0007913654,0.001369334,0.1110264,0.000379972,0.0003281642,0.405161,0.4740198,0.005832534],"study_design_scores_gemma":[0.001526671,0.0002788952,0.004686064,0.000220923,0.0005201857,0.00005107986,0.1105706,0.002830454,0.0002366077,0.0004320395,0.8778375,0.0008089015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0555325,0.009857463,0.0006233258,0.1445061,0.001668364,0.0006955108,0.002414586,0.0007179967,0.7839842],"genre_scores_gemma":[0.8820482,0.000992384,0.001249498,0.005209257,0.005658212,0.0000143552,0.0001579343,0.000121137,0.104549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8265157,"threshold_uncertainty_score":0.999662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06728012554087398,"score_gpt":0.2649183083095391,"score_spread":0.1976381827686651,"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."}}