{"id":"W7096986837","doi":"","title":"HIROAKI TANIGUCHI REGULATION OF GATA4 TRANSCRIPTIONAL ACTIVITY IN THE GONADS","year":2015,"lang":"en","type":"article","venue":"","topic":"Biochemical Analysis and Sensing Techniques","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"GATA4; Transcription (linguistics); Expression (computer science); Gene; Mutation; Gene expression","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":[0.0003579202,0.0001897064,0.0002592739,0.0001907062,0.0006427875,0.000416616,0.0002564554,0.000239165,0.00515362],"category_scores_gemma":[0.0001715861,0.000205856,0.000308749,0.0001894277,0.0004307406,0.0003029024,0.0006800208,0.0006639985,0.0008726619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000326536,"about_ca_system_score_gemma":0.0007469428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001328237,"about_ca_topic_score_gemma":0.002540039,"domain_scores_codex":[0.9998893,0.0000163448,0.000007737247,0.00003311294,0.00002797344,0.00002552302],"domain_scores_gemma":[0.9998597,0.0000141218,0.00001492134,0.000008365008,0.00003753738,0.00006533051],"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":[0.0005450337,0.0001207507,0.008789791,0.0002507192,0.00001570277,0.0002488172,0.000632436,0.00008334651,0.960499,0.001824167,0.0006821803,0.02630801],"study_design_scores_gemma":[0.0002524481,0.001621512,0.322248,0.0001881189,0.0001573059,0.001338249,0.005071268,0.002188198,0.574401,0.003174782,0.08924896,0.0001101279],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687276,0.01140386,0.007023555,0.002947672,0.001019887,0.00003732299,0.0001040556,0.00006009851,0.008675857],"genre_scores_gemma":[0.9332243,0.01049102,0.004263016,0.0007531922,0.000274385,0.00007928884,0.0001771686,0.00003321828,0.05070446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00515362,"threshold_uncertainty_score":0.01724058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04751357422609816,"score_gpt":0.2810762282582357,"score_spread":0.2335626540321376,"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."}}