{"id":"W4291293805","doi":"","title":"GenExP, un logiciel pour simuler des paysages agricoles en vue de l'étude de la diffusion de transgènes","year":2006,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Political science","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":[0.00720653,0.0006408925,0.0005506444,0.00007537467,0.001242069,0.0007548052,0.001969421,0.001020302,0.001169513],"category_scores_gemma":[0.0008424938,0.0003336605,0.0004531993,0.0006938277,0.0007591163,0.0001809263,0.001099771,0.001112864,0.0001094586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004728267,"about_ca_system_score_gemma":0.0002892861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01191236,"about_ca_topic_score_gemma":0.007869969,"domain_scores_codex":[0.9846869,0.01184085,0.0006660075,0.0009791335,0.0006244025,0.001202713],"domain_scores_gemma":[0.9929527,0.004653275,0.0003570079,0.0004576988,0.00108899,0.0004903304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005280225,0.003321452,0.1466364,0.0003404779,0.0002124521,0.00008778099,0.01994396,0.001174324,0.4008771,0.04696694,0.00938866,0.3709976],"study_design_scores_gemma":[0.0004212753,0.00000337601,0.8618413,0.00129878,0.00008193727,0.00006832732,0.0009680879,0.002811527,0.08283821,0.0199059,0.02898725,0.0007740288],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.902075,0.003861057,0.02186863,0.04568959,0.00009517471,0.0006027714,0.00007882157,0.000232638,0.02549629],"genre_scores_gemma":[0.9020534,0.01095472,0.03270925,0.0002559551,0.0002138599,0.0001216079,0.0005904212,0.00001585946,0.05308493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7152048,"threshold_uncertainty_score":0.9999115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279765461424016,"score_gpt":0.2301306173490064,"score_spread":0.2173329627347662,"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."}}