{"id":"W4298339504","doi":"","title":"Herbage Physiognomic Units : an indicator or grassland management in French Atlantic marshlands","year":2002,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cégep de Saint-Laurent","funders":"","keywords":"Grassland; Geography; Ecology; Biology","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003493814,0.0003540265,0.0003692177,0.000199226,0.0003237605,0.0001915186,0.00194379,0.0003208192,0.002439579],"category_scores_gemma":[0.0002079904,0.0003274612,0.0000739869,0.0007213093,0.0004102107,0.0002422464,0.002010813,0.0006727881,0.0004224918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000256015,"about_ca_system_score_gemma":0.00006551282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003799057,"about_ca_topic_score_gemma":0.03599598,"domain_scores_codex":[0.9947761,0.002657341,0.0004749947,0.001078167,0.0004548892,0.0005585243],"domain_scores_gemma":[0.9973499,0.0004748351,0.0003432451,0.001514916,0.00006815966,0.0002489362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005610635,0.002667802,0.9183472,0.000285374,0.0001243579,0.0003778195,0.01605175,0.00141699,0.001093355,0.00470207,0.008899454,0.04597777],"study_design_scores_gemma":[0.001004225,0.000001890316,0.9533392,0.0006407693,0.00004600082,0.00002848735,0.0001481583,0.03230067,0.0009291965,0.003540362,0.007207626,0.0008133912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383729,0.00008057262,0.0009551191,0.001280661,0.0001477613,0.0004886158,0.00004025426,0.0001115083,0.05852261],"genre_scores_gemma":[0.9804532,0.0006886622,0.003720777,0.000115224,0.0000116687,0.00008847029,0.0003028707,0.00002507906,0.01459403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04516438,"threshold_uncertainty_score":0.9999177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.014495253825742,"score_gpt":0.2106431590105098,"score_spread":0.1961479051847678,"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."}}