{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001349959,0.0007776994,0.0005042622,0.001537583,0.003842642,0.005272196,0.0006501129,0.002000682,0.03235989],"category_scores_gemma":[0.001342727,0.0003861753,0.0008639218,0.001636634,0.002945042,0.002890213,0.0030389,0.003309556,0.008677868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002591209,"about_ca_system_score_gemma":0.003357761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006137365,"about_ca_topic_score_gemma":0.02441887,"domain_scores_codex":[0.9985161,0.0003931496,0.00005659511,0.0003173495,0.000486336,0.0002304772],"domain_scores_gemma":[0.9983873,0.0004381996,0.0002266552,0.0002394782,0.000397249,0.0003110716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004137163,0.000389731,0.0112508,0.002107541,0.0002300058,0.001898615,0.01068157,0.002269485,0.06313624,0.331568,0.04068772,0.5353666],"study_design_scores_gemma":[0.00003089815,0.000218243,0.01089441,0.0005475965,0.0001101813,0.0006405991,0.003141146,0.000617207,0.004864748,0.02513059,0.9537472,0.00005718289],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0941618,0.03320484,0.04345411,0.02373344,0.003548913,0.0003908032,0.0005499846,0.0007425937,0.8002136],"genre_scores_gemma":[0.4126021,0.01565968,0.02891724,0.007622725,0.001349432,0.0004505435,0.0004459435,0.0003854571,0.5325668],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03235989,"threshold_uncertainty_score":0.1082547,"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."}}