{"id":"W7036440087","doi":"","title":"Biotech Center Awards $2.3 Million in Grants, Loans in Latest Quarter","year":2023,"lang":"en","type":"other","venue":"","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Center (category theory); Government (linguistics)","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":[0.001289666,0.0008860171,0.0005149885,0.001752026,0.001813296,0.00425667,0.0008956891,0.002731694,0.471699],"category_scores_gemma":[0.004142343,0.0003930377,0.0005119165,0.0009476443,0.0006250008,0.001746914,0.002456419,0.002563585,0.4560937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453102,"about_ca_system_score_gemma":0.004257311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009511783,"about_ca_topic_score_gemma":0.0217187,"domain_scores_codex":[0.9989542,0.00008262292,0.00003458739,0.0001062086,0.0005749718,0.0002475202],"domain_scores_gemma":[0.9967867,0.0002153595,0.0001017568,0.0001016759,0.001135229,0.00165934],"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":[0.00004342854,0.00005954269,0.0001825135,0.00002000541,0.000001620946,0.00001830695,0.00000552935,0.00002999533,0.0001371226,0.0009941438,0.9765388,0.02196899],"study_design_scores_gemma":[0.00003750898,0.00002866948,0.0009238875,0.00002654476,0.000001981549,0.00003247716,0.00004320477,0.0001921479,0.0001326939,0.0004958165,0.9980775,0.000007566331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002059624,0.0007966678,0.0009499124,0.01464113,0.01022187,0.0002100665,0.009852256,0.002732151,0.9585363],"genre_scores_gemma":[0.003766134,0.0003976095,0.000445712,0.003742058,0.0009192498,0.00007253552,0.005513262,0.0003418794,0.9848016],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.471699,"threshold_uncertainty_score":0.7535572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008442502195024388,"score_gpt":0.2534208682994357,"score_spread":0.2449783661044113,"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."}}