{"id":"W4247611825","doi":"10.1142/s0219030315000105","title":"BIOBOARD","year":2015,"lang":"en","type":"article","venue":"Asia-Pacific Biotech News","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Political science; Economic growth; Geography; Development economics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009657283,0.001619891,0.0008889384,0.002050465,0.001757343,0.006165382,0.002038299,0.003002214,0.7598568],"category_scores_gemma":[0.003348485,0.0006554317,0.001045591,0.001561589,0.0005770634,0.004009109,0.003520933,0.002340515,0.5953131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001000045,"about_ca_system_score_gemma":0.001565219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00187689,"about_ca_topic_score_gemma":0.002660646,"domain_scores_codex":[0.9986967,0.0001071132,0.00007305993,0.0002884394,0.0006887849,0.0001458955],"domain_scores_gemma":[0.9982566,0.0002004045,0.00008235274,0.0003375744,0.0007624367,0.0003606015],"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":[0.0001785199,0.00007091631,0.0003220129,0.0004249411,0.00001680519,0.0002263491,0.0001111258,0.0001952154,0.005284246,0.009227198,0.7753884,0.2085542],"study_design_scores_gemma":[0.000008030238,0.00001339197,0.0001060728,0.00003598625,0.000003647869,0.00006793997,0.00003132342,0.00005347086,0.0007085458,0.000681842,0.9982846,0.000005173283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001278713,0.003692857,0.006922414,0.005448939,0.00904637,0.0003691909,0.008992087,0.00580332,0.958446],"genre_scores_gemma":[0.006756339,0.002877881,0.003259757,0.002845509,0.0008744732,0.0002013194,0.009135626,0.001525668,0.9725233],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2401432,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07494597459467674,"score_gpt":0.3408959319270387,"score_spread":0.265949957332362,"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."}}