{"id":"W4406192156","doi":"10.1111/agec.12873","title":"Factors affecting investments in environmental assets by agricultural machinery cooperatives (CUMAs): Evidence from France","year":2025,"lang":"en","type":"article","venue":"Agricultural Economics","topic":"Cooperative Studies and Economics","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Agriculture; Business; Agricultural machinery; Agricultural economics; Economics; Natural resource economics; Geography","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":[0.00008116597,0.0004051763,0.0004560416,0.00007549176,0.000350636,0.0004380464,0.000281976,0.00009867631,0.0001319266],"category_scores_gemma":[0.00005914285,0.0002752934,0.000120509,0.0002038401,0.00007478705,0.002247585,0.000289815,0.0001913896,0.0001325269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002792113,"about_ca_system_score_gemma":0.000009620825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001271278,"about_ca_topic_score_gemma":0.001159545,"domain_scores_codex":[0.998511,0.00001963163,0.0004606406,0.0005788842,0.00005424446,0.0003756688],"domain_scores_gemma":[0.9994169,0.0001660472,0.0002186944,0.0001528531,0.00002350268,0.00002202863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001678974,0.0001611866,0.9818466,0.00003516081,0.0001777009,0.000001497819,0.0007595232,0.001141096,0.005188074,0.000595057,0.008686241,0.001391047],"study_design_scores_gemma":[0.0005354118,0.00001177486,0.9898529,0.00008326551,0.00002896778,2.045775e-7,0.003205586,0.000783499,0.000636818,0.00008450797,0.004355136,0.0004219372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947822,0.001525317,0.000003953579,0.0007408364,0.0006935552,0.000405507,0.00004703036,0.00005310891,0.001748479],"genre_scores_gemma":[0.9974245,0.0004178091,0.00003213469,0.000605995,0.0002713921,0.00003033483,0.000388031,0.00001272383,0.0008171184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008006264,"threshold_uncertainty_score":0.9999699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421548740446239,"score_gpt":0.2041307711226591,"score_spread":0.1899152837181967,"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."}}