{"id":"W2383343678","doi":"","title":"INDUSTRIAL HEMP A TRILLION- DOLLAR CROP","year":2015,"lang":"en","type":"article","venue":"Research Journal of Economics & Business Studies","topic":"Cassava research and cyanide","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Liberian dollar; Crop; Business; Agricultural economics; Green Revolution; Agroforestry; Industrial Revolution; China; Geography; Economics; Environmental science; Forestry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001272262,0.000182246,0.0001268416,0.0003889335,0.0004012932,0.0007576502,0.0001776198,0.0003313544,0.009015946],"category_scores_gemma":[0.0001361097,0.00004045587,0.0001653279,0.000607027,0.0003030869,0.0004972737,0.0004220283,0.0005189308,0.0008503365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008616039,"about_ca_system_score_gemma":0.0005854319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002205533,"about_ca_topic_score_gemma":0.00446827,"domain_scores_codex":[0.999911,0.00001097634,0.000004613687,0.00001713562,0.00004088894,0.00001540871],"domain_scores_gemma":[0.9999197,0.00002071629,0.00001917898,0.000006054713,0.0000232856,0.0000110898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004764141,0.0002210943,0.008797878,0.005263834,0.000090773,0.005296566,0.0007002974,0.00132609,0.1731452,0.1371823,0.04147477,0.6260248],"study_design_scores_gemma":[0.00001282846,0.0002028114,0.01831627,0.0008021573,0.00005303013,0.002720386,0.00114939,0.0005146589,0.03835692,0.01182462,0.9260262,0.00002078786],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3520275,0.1844628,0.008857563,0.01679129,0.001896426,0.0001448109,0.001247021,0.0002583407,0.4343143],"genre_scores_gemma":[0.81643,0.09213516,0.004913863,0.001608712,0.0003657666,0.00003698567,0.0005783431,0.00003490181,0.08389624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009015946,"threshold_uncertainty_score":0.03016132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4910146692077109,"score_gpt":0.391270095996737,"score_spread":0.09974457321097391,"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."}}