{"id":"W7022524953","doi":"","title":"Notes","year":2018,"lang":"fr","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Volume (thermodynamics); Relation (database); Work (physics)","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":[0.001270753,0.0004662515,0.0005672665,0.001686483,0.00590708,0.003243831,0.001375694,0.001968871,0.2419606],"category_scores_gemma":[0.00609816,0.0002019335,0.0003679047,0.003189007,0.0009919343,0.002079803,0.001761137,0.002694686,0.06228275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009708045,"about_ca_system_score_gemma":0.01587969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5222137,"about_ca_topic_score_gemma":0.6464455,"domain_scores_codex":[0.9988918,0.00007061578,0.00005775333,0.0001508855,0.0005598314,0.0002692713],"domain_scores_gemma":[0.9960982,0.0005519239,0.0001203627,0.000216762,0.002194129,0.000818568],"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":[0.000008929988,0.000007256817,0.0001944241,0.0000213385,0.000001048743,0.00003153093,0.000241502,0.000008045997,0.00002875198,0.008078043,0.9845766,0.006802489],"study_design_scores_gemma":[0.000002929048,0.000001656697,0.001026801,0.00002227598,0.00000145607,0.0000190486,0.0003259575,0.000006887476,0.00003043813,0.0005971798,0.9979615,0.000003821634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002272139,0.007108041,0.0003650817,0.3224478,0.0410483,0.0001385557,0.008420862,0.0003107872,0.6178885],"genre_scores_gemma":[0.007446686,0.001440221,0.0001844791,0.01407648,0.00189418,0.0000552802,0.0007345751,0.00005492392,0.9741132],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7580394,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397456011971227,"score_gpt":0.2222003230691632,"score_spread":0.2082257629494509,"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."}}