{"id":"W4394108641","doi":"10.6084/m9.figshare.20295826","title":"Additional file 2 of Transcriptomic comparison sheds new light on regulatory networks for dimorphic flower development in response to photoperiod in Viola prionantha","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Biochemical and Structural Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Toronto; University Health Network; Canadian Institute for Advanced Research","funders":"","keywords":"Viola; Biology; photoperiodism; Transcriptome; Botany; Gene; Genetics; Gene expression; Art; Art history","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001275168,0.001870236,0.001930666,0.003491405,0.001131608,0.002532812,0.002473047,0.002209542,0.4791092],"category_scores_gemma":[0.0086108,0.0007009463,0.001467035,0.005270386,0.0004921305,0.001804593,0.001883865,0.001645712,0.1369464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120791,"about_ca_system_score_gemma":0.002209258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006727512,"about_ca_topic_score_gemma":0.01306457,"domain_scores_codex":[0.9990533,0.0001068083,0.0001183724,0.000386136,0.0001723345,0.0001630576],"domain_scores_gemma":[0.994321,0.00357522,0.0004427013,0.0006031246,0.0007331624,0.0003247759],"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":[0.0003255541,0.00008793394,0.003362721,0.005119185,0.0001339067,0.00009170992,0.00008014245,0.0008046565,0.0009979481,0.001028087,0.9831077,0.004860494],"study_design_scores_gemma":[0.002023236,0.0001248562,0.02189509,0.00163914,0.0002453757,0.0002412122,0.0002212854,0.001220924,0.00174789,0.006434484,0.9640868,0.0001197534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006765369,0.00001146648,0.00005611085,0.00001656062,0.000005433532,0.000007012796,0.9995366,0.0001190095,0.0001801185],"genre_scores_gemma":[0.0008791733,0.00003169793,0.0005849401,0.00007943071,0.000008322516,0.0001653116,0.9974215,0.000175814,0.0006536999],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4791092,"threshold_uncertainty_score":0.7429875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563140048766662,"score_gpt":0.2630936405862295,"score_spread":0.2474622400985629,"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."}}