{"id":"W6889013114","doi":"10.2516/ogst:1980042/pdf","title":"Prospective des ressources face à la consommation (résumé)","year":2006,"lang":"fr","type":"article","venue":"Springer Link (Chiba Institute of Technology)","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Western europe; Mining industry","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":[0.0007926249,0.0003940481,0.0002539633,0.001647292,0.001311735,0.003277431,0.0006732932,0.0009309336,0.04506525],"category_scores_gemma":[0.002404007,0.0002380421,0.0005471548,0.001942151,0.0009539201,0.003024525,0.001124131,0.0007500788,0.004323148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001551221,"about_ca_system_score_gemma":0.001678326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01900166,"about_ca_topic_score_gemma":0.02141398,"domain_scores_codex":[0.9994227,0.0001182275,0.00002776185,0.0001130458,0.0001941598,0.0001241467],"domain_scores_gemma":[0.9986234,0.0006091039,0.0001306613,0.000115223,0.0004094105,0.0001122313],"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":[0.0003553185,0.0001496757,0.01858745,0.0004921071,0.0000541763,0.001333295,0.00661223,0.02358655,0.01152143,0.7084748,0.01237817,0.2164549],"study_design_scores_gemma":[0.00006299424,0.0003257035,0.04221362,0.0006357493,0.0001420553,0.00154675,0.01166883,0.03903271,0.01832938,0.2823763,0.6034721,0.0001939034],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2499021,0.002048731,0.2775606,0.00301419,0.0003946788,0.0003858229,0.004684323,0.00162798,0.4603817],"genre_scores_gemma":[0.7363123,0.001906674,0.0760515,0.0002319076,0.00008528217,0.0003128287,0.002597076,0.0004425556,0.1820599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04506525,"threshold_uncertainty_score":0.1507583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230369250744234,"score_gpt":0.2449009074420284,"score_spread":0.232597214934586,"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."}}