{"id":"W2793473576","doi":"10.3390/agriculture8030044","title":"Helping Agribusinesses—Small Millets Value Chain—To Grow in India","year":2018,"lang":"en","type":"article","venue":"Agriculture","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Global Affairs Canada; International Development Research Centre","keywords":"Agribusiness; Stakeholder; Context (archaeology); Agriculture; Business; Government (linguistics); Value (mathematics); Value chain; Marketing; Chain (unit); Supply chain; Agricultural science; Industrial organization; Economics; Geography; Management; Mathematics; Biology","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":[0.001301857,0.0002284884,0.0001068229,0.0007317328,0.005483748,0.005946019,0.0008628531,0.001887965,0.001916286],"category_scores_gemma":[0.003516088,0.0001108069,0.0001739872,0.002134449,0.005229881,0.002509383,0.001840016,0.002732436,0.0003090706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006700127,"about_ca_system_score_gemma":0.008570274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05026375,"about_ca_topic_score_gemma":0.1186619,"domain_scores_codex":[0.9986019,0.0006070024,0.00005265624,0.0001398834,0.0003241875,0.0002745428],"domain_scores_gemma":[0.9977627,0.00118266,0.0002087824,0.00009025301,0.0005356335,0.0002200016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008765516,0.00003259237,0.005771632,0.0006538794,0.00001807756,0.002862565,0.1367037,0.001067186,0.002834676,0.5717032,0.2099434,0.06832156],"study_design_scores_gemma":[0.000004031985,0.00003007334,0.005187622,0.000366764,0.0000150679,0.0004517957,0.1129653,0.0005233826,0.001048588,0.0286568,0.8507112,0.00003935394],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1368839,0.009082719,0.005216991,0.6189484,0.004479563,0.00006791569,0.0001823755,0.0001344605,0.2250037],"genre_scores_gemma":[0.9426039,0.006284118,0.002524354,0.02162242,0.0007110595,0.00003543972,0.00006604684,0.00006418712,0.02608848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05026375,"threshold_uncertainty_score":0.09994239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020232329002578,"score_gpt":0.1919581922687933,"score_spread":0.1817558689787675,"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."}}