{"id":"W2769408127","doi":"10.1002/ird.2174","title":"Framing Smallholder Irrigation in a New Business Context","year":2017,"lang":"en","type":"article","venue":"Irrigation and Drainage","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Abdul Latif Jameel Water and Food Systems Lab, Massachusetts Institute of Technology; McGill University","keywords":"Irrigation; Business; Framing (construction); Business model; Irrigation management; Agricultural economics; Agriculture; Entrepreneurship; Economics; Finance; Marketing; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004079796,0.0004590566,0.0003904669,0.001170209,0.003252253,0.009953954,0.001181635,0.00363656,0.008546941],"category_scores_gemma":[0.00401493,0.0003543613,0.0003552906,0.001326581,0.01055662,0.009725766,0.007052016,0.00339095,0.0004527677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004277152,"about_ca_system_score_gemma":0.002141839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002157023,"about_ca_topic_score_gemma":0.002508389,"domain_scores_codex":[0.997139,0.00202203,0.00005786593,0.000272007,0.0002464753,0.0002626359],"domain_scores_gemma":[0.9960509,0.002454226,0.0003785272,0.0002996903,0.0002692172,0.0005475401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000009073995,0.00003567582,0.0002813731,0.00001911095,0.000002187963,0.0003098713,0.00157915,0.001326021,0.0003164402,0.9925472,0.0006549446,0.002918861],"study_design_scores_gemma":[0.00002090423,0.00005369796,0.0007126056,0.0001375961,0.00001004755,0.0001802779,0.01279571,0.02018695,0.0006263226,0.853672,0.1115708,0.0000330715],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2585235,0.003210139,0.3448363,0.08645216,0.001063451,0.0003127767,0.0001507077,0.0001527373,0.3052982],"genre_scores_gemma":[0.975915,0.0006116527,0.01432327,0.0007231011,0.0002125934,0.000100742,0.00002186675,0.00001969698,0.008072126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009953954,"threshold_uncertainty_score":0.0310331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621440037438929,"score_gpt":0.2138444132134776,"score_spread":0.1976300128390883,"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."}}