{"id":"W2379609172","doi":"","title":"CW 400,A New Purple Medic With High Yield and Good Quality","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Morinda citrifolia extract uses","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Horticulture; Quality (philosophy); Biology; Materials science; Physics; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00009470514,0.0005714053,0.0002937053,0.001072475,0.0002769481,0.0002242352,0.0003181779,0.0004025579,0.003490556],"category_scores_gemma":[0.00009985363,0.0001710547,0.0002762148,0.0003391943,0.0001645734,0.000330962,0.0002847429,0.0004356148,0.0007100262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010777,"about_ca_system_score_gemma":0.0002140732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005398711,"about_ca_topic_score_gemma":0.001025419,"domain_scores_codex":[0.9999442,0.000006559053,0.000002504123,0.00001174185,0.00002542428,0.000009551506],"domain_scores_gemma":[0.9999304,0.00001050189,0.00001213362,0.000004776149,0.000008237827,0.0000339762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001905131,0.00009259091,0.0001479,0.0002895651,0.00001469037,0.0002433462,0.00002410909,0.00008453507,0.9738888,0.0003415578,0.0006625496,0.02401976],"study_design_scores_gemma":[0.0001521742,0.003122172,0.009449476,0.00004983909,0.0001544814,0.002310463,0.00004437002,0.0007701123,0.935688,0.0005571516,0.04765642,0.00004546291],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8812495,0.02343386,0.02760823,0.001006829,0.0002705448,0.0004676602,0.002746333,0.001233313,0.06198381],"genre_scores_gemma":[0.9368985,0.007797389,0.01778043,0.0006863184,0.0001207452,0.0000894508,0.002386348,0.0001557129,0.03408512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003490556,"threshold_uncertainty_score":0.01167709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02946671570146636,"score_gpt":0.2952721275246539,"score_spread":0.2658054118231876,"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."}}