{"id":"W4400486688","doi":"10.1016/j.indcrop.2024.119127","title":"Optimization of hemp production technology for fiber and seed","year":2024,"lang":"en","type":"article","venue":"Industrial Crops and Products","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Production (economics); Fiber; Biotechnology; Agronomy; Agricultural engineering; Biochemical engineering; Biology; Chemistry; Engineering; Economics; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002495525,0.0000650327,0.0001072552,0.00001808954,0.00007051349,0.00006062273,0.00003997806,0.0001099852,0.00002528123],"category_scores_gemma":[0.0002143404,0.00002646176,0.00001407831,0.0001905051,0.0000590276,0.0001473254,0.00002712434,0.00007465637,0.000001417755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007553709,"about_ca_system_score_gemma":0.00001090623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001027347,"about_ca_topic_score_gemma":0.000008278002,"domain_scores_codex":[0.9994563,0.00001942246,0.0001494536,0.0002485306,0.00003803463,0.00008819058],"domain_scores_gemma":[0.9997782,0.00005225217,0.00005712858,0.00003145031,0.00006249829,0.00001848423],"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":[0.0002873027,0.00006116799,0.002073703,0.0002124394,0.00008852934,0.000001331705,0.0002881741,0.0002086591,0.297983,0.001198884,0.01450615,0.6830907],"study_design_scores_gemma":[0.0003941445,0.001110835,0.001728704,0.0003485504,0.00008492425,0.00008381648,0.0006626223,0.001840927,0.05494719,0.0005220969,0.9379359,0.0003403062],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982516,0.001492531,0.00001201684,0.01472237,0.000622545,0.0004236919,0.0000185574,0.00004592774,0.0001463445],"genre_scores_gemma":[0.9968462,0.00007253013,0.0003466348,0.000009305663,0.001131662,0.00001537515,0.0000166155,0.000001081245,0.001560577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9234297,"threshold_uncertainty_score":0.1079079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04757604988352006,"score_gpt":0.2452245167886657,"score_spread":0.1976484669051456,"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."}}