{"id":"W7005327105","doi":"","title":"Potentiel des biotechnologies environnementales pour un développement industriel durable","year":2000,"lang":"fr","type":"article","venue":"NPARC","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Sustainability; Legislation; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003461701,0.000810879,0.0006164332,0.001340148,0.0006407538,0.002074905,0.000631522,0.00173966,0.01620555],"category_scores_gemma":[0.005845861,0.0003262687,0.001367308,0.000795075,0.0006391741,0.001769829,0.0008993419,0.001912108,0.003717892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002101784,"about_ca_system_score_gemma":0.001917762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005241772,"about_ca_topic_score_gemma":0.004271634,"domain_scores_codex":[0.9977648,0.0006809152,0.00009430893,0.0003447157,0.0009581921,0.0001569852],"domain_scores_gemma":[0.9963097,0.002358478,0.0002069102,0.0003181032,0.000655085,0.0001516278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004279889,0.001417106,0.0143672,0.002424864,0.0004302487,0.0005574708,0.0003846051,0.07332534,0.2685874,0.06907712,0.01315046,0.5519983],"study_design_scores_gemma":[0.001570169,0.005971647,0.03792706,0.0008374248,0.0008960678,0.000963648,0.0005256808,0.08950998,0.5608702,0.0277365,0.2729851,0.0002065524],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5166156,0.06969346,0.1919214,0.01132369,0.003800948,0.0008721936,0.002263336,0.001707491,0.2018018],"genre_scores_gemma":[0.8044996,0.01985293,0.07827794,0.0008388447,0.001104593,0.0004095767,0.0008809846,0.0001499981,0.09398547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01620555,"threshold_uncertainty_score":0.05421299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04611840373591886,"score_gpt":0.2055156296752461,"score_spread":0.1593972259393272,"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."}}