{"id":"W6955341889","doi":"10.58079/utdh","title":"LA SÉRIE \"EN PLEIN DANS LE MIL!\" DU PODCAST KESKISTRAMES EST EN LIGNE !","year":2019,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Diverse Cultural and Historical Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Narrative; Focus (optics); Ligne","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":["insufficient_payload"],"category_scores_codex":[0.0009495053,0.0004886297,0.0006294337,0.0000885429,0.001791884,0.0004647704,0.0007757633,0.0005017887,0.01412139],"category_scores_gemma":[0.0002841277,0.0004728708,0.0003382466,0.0006916769,0.001121514,0.009306769,0.0003290727,0.0004866486,0.01507973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000933275,"about_ca_system_score_gemma":0.0002845154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007595631,"about_ca_topic_score_gemma":0.012373,"domain_scores_codex":[0.9959924,0.0008905329,0.0005981045,0.0007924417,0.0009746631,0.0007519127],"domain_scores_gemma":[0.9980127,0.0005938017,0.0003175857,0.0003126944,0.0003492307,0.0004140344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005852673,0.000689492,0.0007147178,0.0001050888,0.0001543807,0.0001133063,0.006895105,0.00005796319,0.0003598461,0.9122519,0.06956439,0.009035235],"study_design_scores_gemma":[0.001007971,0.0002648439,0.02682277,0.0002292365,0.0001215135,0.00002744852,0.01931777,0.00002215768,0.0002282591,0.002905911,0.9483717,0.00068043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06307422,0.001995114,0.0001488852,0.1663177,0.00981326,0.00092498,0.0007988714,0.0001882792,0.7567387],"genre_scores_gemma":[0.865564,0.002883399,0.0004659394,0.004262559,0.003173226,0.0001315205,0.0005015878,0.00004002523,0.1229778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.909346,"threshold_uncertainty_score":0.9997723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368848324715701,"score_gpt":0.237187506094652,"score_spread":0.223499022847495,"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."}}