{"id":"W3015721032","doi":"10.5267/j.msl.2020.4.008","title":"Cultural aspects that influence the associative work of agricultural production chains in the Mantaro Valley of Peru","year":2020,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Agricultural and Food Production Studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Associative property; Agriculture; Production (economics); Work (physics); Business; Agricultural productivity; Computer science; Agricultural engineering; Agricultural economics; Geography; Economics; Mathematics; Archaeology; Microeconomics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008177041,0.0001557591,0.0001459414,0.000653001,0.001712288,0.001375385,0.0003020157,0.0002311738,0.002542615],"category_scores_gemma":[0.00263797,0.0001582422,0.0000960609,0.0007907042,0.001628939,0.0005539121,0.001470258,0.0002922715,0.0001197225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006544708,"about_ca_system_score_gemma":0.0006140132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007569317,"about_ca_topic_score_gemma":0.02640861,"domain_scores_codex":[0.9992092,0.0004746926,0.00002581498,0.00006907234,0.00008162822,0.0001395671],"domain_scores_gemma":[0.9981802,0.0006731877,0.0006115556,0.000102006,0.0001415411,0.0002917033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008284838,0.0001746481,0.8786709,0.00007108624,0.00003347722,0.0009130924,0.1004996,0.0001345452,0.001692391,0.0007262569,0.000159572,0.01684161],"study_design_scores_gemma":[0.000005778061,0.0001209528,0.796863,0.00004559871,0.00001256797,0.0002900719,0.1996744,0.0002028952,0.0001481114,0.0003690709,0.002257115,0.00001043691],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987193,0.00003417567,0.00004771441,0.00003886152,6.272102e-7,0.000004294837,0.000005498736,5.845015e-7,0.001149007],"genre_scores_gemma":[0.9996945,0.0000446735,0.00005441674,0.000006356938,8.182526e-7,0.000004222535,0.000006752903,4.050073e-7,0.0001879932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007569317,"threshold_uncertainty_score":0.01505053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02840222218456005,"score_gpt":0.2172588869634808,"score_spread":0.1888566647789208,"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."}}