{"id":"W4298360392","doi":"","title":"A multiple stakeholders platform for wet grassland management : sharing resources for environmental and production goals","year":2003,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cégep de Saint-Laurent","funders":"","keywords":"Grassland; Production (economics); Environmental resource management; Environmental science; Business; Computer science; Environmental planning; Environmental economics; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003130023,0.0003834416,0.0003743095,0.0007857883,0.001968503,0.002982216,0.001035279,0.001887009,0.0136859],"category_scores_gemma":[0.003579627,0.0003558217,0.0006117395,0.0007782021,0.0007330313,0.004165639,0.005897487,0.001348604,0.001036643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005994221,"about_ca_system_score_gemma":0.00223011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00277415,"about_ca_topic_score_gemma":0.004244944,"domain_scores_codex":[0.9988336,0.0005551745,0.00004104148,0.0001444897,0.0002544925,0.0001712097],"domain_scores_gemma":[0.997795,0.0006638492,0.0001398113,0.0004597871,0.0002251606,0.0007164452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002619976,0.002575516,0.02092911,0.0004141723,0.0003541978,0.005199353,0.009891034,0.1022084,0.06853334,0.2896587,0.02471237,0.4729038],"study_design_scores_gemma":[0.0006813385,0.001072097,0.00825612,0.0001411076,0.0002434927,0.0007978616,0.00750162,0.6476418,0.02023185,0.2265308,0.0867079,0.0001940015],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3737736,0.000135053,0.5617572,0.004834767,0.0001755475,0.0009106951,0.0003630844,0.00187405,0.05617605],"genre_scores_gemma":[0.824847,0.00005334832,0.1639553,0.0001653317,0.00002740323,0.0002935105,0.0002223699,0.0001147852,0.01032094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0136859,"threshold_uncertainty_score":0.04578394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03105127868196431,"score_gpt":0.2150187320349965,"score_spread":0.1839674533530322,"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."}}