{"id":"W7051840052","doi":"","title":"Plusieurs branches pour un arbre qui parle","year":2002,"lang":"fr","type":"other","venue":"CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research)","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gens; Context (archaeology); Rural development","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":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.00453519,0.001471916,0.001730651,0.001255124,0.002061537,0.00136852,0.004275839,0.001242933,0.003680633],"category_scores_gemma":[0.008958746,0.0009408504,0.001051225,0.002371567,0.004133722,0.001305457,0.001455612,0.00353204,0.001156566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003424158,"about_ca_system_score_gemma":0.0005031684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00232491,"about_ca_topic_score_gemma":0.001005979,"domain_scores_codex":[0.9822281,0.003461926,0.001875328,0.002761462,0.006191795,0.00348138],"domain_scores_gemma":[0.9750752,0.00560382,0.00130869,0.000850799,0.01608236,0.001079082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005112247,0.001058163,0.0002283815,0.0004675219,0.0006360883,0.00005766956,0.003663054,0.0000179998,0.6691095,0.02523597,0.2974102,0.001604299],"study_design_scores_gemma":[0.002865442,0.003706357,0.039176,0.003046417,0.0001519303,0.0002437485,0.02070888,0.00007340169,0.7000193,0.002555399,0.225599,0.001854119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7292058,0.01286229,0.0005572473,0.02646063,0.004336461,0.01100058,0.002212146,0.0006814215,0.2126833],"genre_scores_gemma":[0.3344244,0.002322344,0.00724286,0.00005541791,0.003621626,0.00147198,0.0006918088,0.0002478464,0.6499217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4372384,"threshold_uncertainty_score":0.999803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0454182357203465,"score_gpt":0.3479076827127501,"score_spread":0.3024894469924036,"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."}}