{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002803966,0.0003626959,0.0002795448,0.00009517053,0.0005248368,0.0002429561,0.0005596477,0.0001605647,0.0002035319],"category_scores_gemma":[0.0001843568,0.0003975688,0.0001525243,0.00008769681,0.0002921125,0.0002038379,0.001451239,0.0002090708,0.00002063507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003152497,"about_ca_system_score_gemma":0.000007798917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001902274,"about_ca_topic_score_gemma":0.001161487,"domain_scores_codex":[0.9972706,0.0003552889,0.0004603995,0.001157505,0.000363257,0.000392961],"domain_scores_gemma":[0.9980565,0.0003193226,0.0003803173,0.001060438,0.00002954927,0.0001539114],"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":[0.0005886068,0.005101771,0.2561998,0.003880412,0.001387058,0.00001362599,0.02868021,0.005095693,0.03324718,0.03642268,0.06448127,0.5649017],"study_design_scores_gemma":[0.004528042,0.000006923324,0.1104335,0.001072969,0.0003980325,0.00001132523,0.002180564,0.03062662,0.01978668,0.01497886,0.8140921,0.001884413],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8729056,0.0003741862,0.0814345,0.009315486,0.0003430652,0.005748972,0.0002131007,0.0001870277,0.0294781],"genre_scores_gemma":[0.8139049,0.001341524,0.1052989,0.0005350753,0.00002881521,0.001884017,0.0009684737,0.0001189273,0.0759193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7496108,"threshold_uncertainty_score":0.9998476,"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."}}