{"id":"W3129799222","doi":"","title":"Industrial Grain Hemp Variety Trial","year":2017,"lang":"en","type":"article","venue":"ScholarWorks -A service of University of Vermont Libraries (University of Vermont)","topic":"Food composition and properties","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Computer science; Artificial intelligence","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","sts"],"consensus_categories":[],"category_scores_codex":[0.0004859316,0.0003328189,0.0008499405,0.0003026268,0.001564854,0.0001252882,0.002411138,0.0005927795,0.0004893532],"category_scores_gemma":[0.0001137422,0.0004448881,0.0004606753,0.0003856976,0.001018821,0.003601985,0.001019234,0.0007407865,0.0000188827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001014714,"about_ca_system_score_gemma":0.0002606561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006158262,"about_ca_topic_score_gemma":0.001447098,"domain_scores_codex":[0.9977491,0.0003715347,0.0003378369,0.0005075763,0.000626324,0.0004076528],"domain_scores_gemma":[0.9967815,0.0001703974,0.001150621,0.001244437,0.0004035289,0.000249528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8589357,0.002578111,0.008702934,0.00109781,0.001857282,0.0003029021,0.03320668,0.0003532116,0.0141971,0.007815922,0.0243142,0.04663812],"study_design_scores_gemma":[0.3811689,0.02402022,0.1744653,0.004468421,0.004185882,0.00004889415,0.1189758,0.005977268,0.02489994,0.007444228,0.2492383,0.005106854],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772561,0.0003156373,0.0001909282,0.006006381,0.001174005,0.0006535951,0.0001697579,0.00013081,0.01410281],"genre_scores_gemma":[0.9963139,0.00007338636,0.00254983,0.0001357241,0.0001031132,6.832146e-8,0.00006245771,0.00002671119,0.0007348435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4777668,"threshold_uncertainty_score":0.9998003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03859484047500631,"score_gpt":0.209916861366712,"score_spread":0.1713220208917057,"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."}}