{"id":"W3188482895","doi":"10.17358/jma.18.2.156","title":"Crafting Design Strategy on Seaweed Industry in Indonesia","year":2021,"lang":"id","type":"article","venue":"Jurnal Manajemen dan Agribisnis","topic":"Marine and Coastal Ecosystems","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competitive advantage; Business; Stakeholder; Descriptive statistics; Structural equation modeling; Carrageenan; Industrial organization; Revealed comparative advantage; Marketing; Comparative advantage; Economics; Food science; Mathematics; International trade; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008577464,0.0005240426,0.0005644506,0.0001529096,0.0002686084,0.0003557896,0.00054709,0.0007712198,0.001555972],"category_scores_gemma":[0.00006337454,0.0005257237,0.0001734289,0.00107802,0.0001018752,0.0003953453,0.0006119703,0.002359319,0.0006344327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005930284,"about_ca_system_score_gemma":0.0001965055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001182868,"about_ca_topic_score_gemma":0.002498974,"domain_scores_codex":[0.9955411,0.000661709,0.0009285925,0.0009580992,0.0008958095,0.001014686],"domain_scores_gemma":[0.998495,0.0001520812,0.0003259417,0.0005941701,0.00003416189,0.0003986224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000401043,0.002535755,0.6784959,0.0004204512,0.0003058535,0.009757274,0.001075978,0.02332409,0.04017517,0.001528157,0.009402491,0.2325778],"study_design_scores_gemma":[0.002636439,0.0009747735,0.941132,0.0008056645,0.0001018671,0.0002684788,0.003852249,0.004263828,0.01738391,0.0001946984,0.02695592,0.001430145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8637996,0.0001593931,0.0001425471,0.001054455,0.0003446278,0.0004695749,0.00001001928,0.00004084883,0.133979],"genre_scores_gemma":[0.9741834,0.0001155379,0.00008953067,0.0007571657,0.0002800027,0.00002839369,0.00002276382,0.0000514292,0.02447182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2626361,"threshold_uncertainty_score":0.9999423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589947105184383,"score_gpt":0.236508980687269,"score_spread":0.2106095096354251,"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."}}