{"id":"W2782173814","doi":"","title":"The impact of global drivers on agriculture and land-use","year":2012,"lang":"fr","type":"preprint","venue":"Agritrop (Cirad)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Forestry; Geography; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008067199,0.0004530244,0.0003786081,0.0007775375,0.0003345556,0.002233737,0.0003324188,0.0004401883,0.006188636],"category_scores_gemma":[0.002163084,0.0001818629,0.0007527912,0.0015945,0.0007845519,0.001466861,0.001757305,0.0004927809,0.0004569041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314793,"about_ca_system_score_gemma":0.0009401226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02448336,"about_ca_topic_score_gemma":0.03807865,"domain_scores_codex":[0.9996532,0.0001366196,0.00001278976,0.00006642678,0.00005902133,0.00007204998],"domain_scores_gemma":[0.9990496,0.0004810298,0.0001671122,0.00006915707,0.0001340696,0.00009894708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001879187,0.00008414479,0.7941092,0.0005347934,0.0006681067,0.0007216812,0.001734138,0.04626708,0.001816761,0.0939493,0.003173304,0.05675359],"study_design_scores_gemma":[0.00001865216,0.0001667649,0.8545899,0.0002177513,0.0003174768,0.0003075794,0.004872797,0.03320801,0.0009279094,0.05030629,0.05497781,0.0000890821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9368795,0.007140594,0.008714713,0.005113524,0.0001356407,0.0000500294,0.002683631,0.0000998981,0.03918254],"genre_scores_gemma":[0.9927085,0.003068397,0.0007284646,0.0001462724,0.00004065842,0.0000144191,0.0003694273,0.00003240511,0.002891489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02448336,"threshold_uncertainty_score":0.04868168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221216998252119,"score_gpt":0.2630512964929336,"score_spread":0.2409295966677217,"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."}}