{"id":"W4244447513","doi":"10.1142/s0219030307000080","title":"BioBoard","year":2007,"lang":"en","type":"article","venue":"Asia-Pacific Biotech News","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Government (linguistics); Excellence; Political science; Economic growth; Medicine; Geography; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.001004363,0.001612171,0.0009245274,0.001938686,0.001516505,0.004762582,0.001839748,0.002270316,0.8008757],"category_scores_gemma":[0.002749468,0.0006290405,0.0008991521,0.001446333,0.0004931086,0.00304392,0.003006556,0.002023921,0.6506493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129523,"about_ca_system_score_gemma":0.002030786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002960832,"about_ca_topic_score_gemma":0.004660221,"domain_scores_codex":[0.998723,0.0001097433,0.00006471384,0.0002764387,0.0006851142,0.0001408659],"domain_scores_gemma":[0.9980152,0.0001750866,0.00008632504,0.0002865146,0.0009232009,0.0005136065],"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":[0.0001247303,0.0000659846,0.0002052755,0.0002982929,0.000008815962,0.0001382103,0.00007380951,0.0001005144,0.001884238,0.004784864,0.8205984,0.1717169],"study_design_scores_gemma":[0.000006246934,0.00001911709,0.0001474688,0.00003800576,0.000002416732,0.00006331929,0.00002839705,0.00003715348,0.0002570175,0.0003887309,0.9990085,0.000003777693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008505377,0.002987527,0.002972079,0.003518608,0.005128472,0.0002858579,0.005645778,0.00350421,0.975107],"genre_scores_gemma":[0.002831373,0.001779004,0.001451288,0.001562636,0.0003755725,0.0001137458,0.004448946,0.0006971352,0.9867403],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8008757,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127374004213496,"score_gpt":0.2602289192505434,"score_spread":0.2489551792084084,"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."}}