{"id":"W2560469163","doi":"10.2134/csa2016-61-6-4","title":"Industrial Hemp Meeting to Address Research Gaps","year":2016,"lang":"hu","type":"article","venue":"CSA News","topic":"Peanut Plant Research Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Agricultural economics; Agricultural science; Business; Principal (computer security); Agriculture; Industrial production; Engineering; Geography; Mathematics; Economics; Environmental science; Computer science; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002765452,0.0002888816,0.0004126185,0.00009517479,0.0009667155,0.0002896342,0.00110456,0.0002937127,0.001712017],"category_scores_gemma":[0.005028614,0.00009238419,0.0001416401,0.001172428,0.000435705,0.00019776,0.001452993,0.0005882622,0.0007409017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001931225,"about_ca_system_score_gemma":0.0000804209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002850848,"about_ca_topic_score_gemma":0.003077514,"domain_scores_codex":[0.9946626,0.000972093,0.0004342091,0.0008630437,0.001353889,0.001714167],"domain_scores_gemma":[0.9958095,0.002839566,0.00008549588,0.0002136403,0.0003821751,0.0006696257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002205063,0.00009576217,0.01590363,0.00001237535,0.0000382296,0.00005879057,0.0002502441,2.871066e-7,0.268846,0.0001769697,0.510928,0.2034692],"study_design_scores_gemma":[0.0005712956,0.0009202155,0.02036467,0.000801854,0.000008804237,0.000006188696,0.001835362,0.000001080926,0.01520564,0.0003353285,0.9595479,0.0004016007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8999086,0.001160668,6.891151e-7,0.0616103,0.0006191222,0.0009006012,0.0003636972,0.0000775758,0.03535873],"genre_scores_gemma":[0.9542162,0.001942721,0.00003467083,0.0003245573,0.00656367,0.00009351446,0.0000452907,0.000002222522,0.03677713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.44862,"threshold_uncertainty_score":0.9992006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3094907759510275,"score_gpt":0.3835423167710005,"score_spread":0.074051540819973,"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."}}