{"id":"W7050213161","doi":"","title":"Remerciements","year":2025,"lang":"fr","type":"other","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gratitude; Context (archaeology); Confusion; Subject (documents)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001159956,0.0007208649,0.0006536106,0.0004038818,0.0004480082,0.0003254482,0.0007353064,0.0009902675,0.1426655],"category_scores_gemma":[0.0001455619,0.0007797526,0.0004619533,0.0007973347,0.0001966123,0.0003314845,0.0002948184,0.001431634,0.01156108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007812704,"about_ca_system_score_gemma":0.001045985,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00705617,"about_ca_topic_score_gemma":0.0003604071,"domain_scores_codex":[0.9974493,0.0001882199,0.0004282273,0.0007686097,0.0003276815,0.0008379769],"domain_scores_gemma":[0.9978737,0.0003601885,0.0004676261,0.0006210466,0.0002880234,0.0003894363],"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":[0.00004168676,0.0005430585,0.002001055,0.00007007858,0.001069423,0.000103999,0.0002538027,0.0005536529,0.0003885759,0.1067982,0.8686615,0.01951502],"study_design_scores_gemma":[0.001788957,0.00009470342,0.008334752,0.001166339,0.0006900512,0.000007045482,0.0022835,0.0002042087,0.001076513,0.00032801,0.9832531,0.0007728023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001919222,0.00006456823,0.002569177,0.01071246,0.002698191,0.000713187,0.001659863,0.000107339,0.979556],"genre_scores_gemma":[0.01807749,0.00006639896,0.0006619801,0.0003157574,0.001269733,0.00002669443,0.00080306,0.0001257015,0.9786532],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1311044,"threshold_uncertainty_score":0.9995559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02036765787494181,"score_gpt":0.2505567988269015,"score_spread":0.2301891409519596,"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."}}