{"id":"W4300107651","doi":"","title":"Management intensity and biodiversity conservation: Is farm size the key?","year":2006,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cégep de Saint-Laurent","funders":"","keywords":"Key (lock); Biodiversity; Intensity (physics); Biodiversity conservation; Computer science; Environmental science; Environmental resource management; Ecology; Computer security; Biology; Physics","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":[0.003440459,0.0004258612,0.001587064,0.0008914482,0.0005891546,0.002600763,0.001407897,0.002366239,0.01666817],"category_scores_gemma":[0.01375246,0.0004126256,0.0005255328,0.00172556,0.002958464,0.004008199,0.00197037,0.001658289,0.0008803898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008318967,"about_ca_system_score_gemma":0.000982576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003282888,"about_ca_topic_score_gemma":0.005534824,"domain_scores_codex":[0.9985161,0.0005675578,0.00008522631,0.0002867708,0.0002606744,0.0002836597],"domain_scores_gemma":[0.9815491,0.0095932,0.004534448,0.000928522,0.0009066898,0.002488062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002403069,0.001746204,0.5877404,0.001579115,0.002374886,0.0007237859,0.001801074,0.008967825,0.01933426,0.07068148,0.01060392,0.2920441],"study_design_scores_gemma":[0.0001029208,0.0003851911,0.9072598,0.000282746,0.000405324,0.0003114142,0.001785733,0.003407458,0.0008589418,0.07833494,0.006787924,0.00007760291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8703993,0.02402809,0.01497925,0.038157,0.0005792642,0.00007585987,0.000490313,0.0000708229,0.05122009],"genre_scores_gemma":[0.9905568,0.003526833,0.001136077,0.001636738,0.0005117687,0.00002242358,0.00007907851,0.00004170644,0.00248849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01666817,"threshold_uncertainty_score":0.05576056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738303955963124,"score_gpt":0.2018248445526853,"score_spread":0.184441804993054,"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."}}