{"id":"W6911290803","doi":"10.5281/zenodo.10553544","title":"wilkelab/cowplot: 1.1.3","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Tellabs (Canada)","funders":"","keywords":"Identification (biology); Process (computing); Product (mathematics); Set (abstract data type)","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":[0.005086954,0.005150133,0.004416361,0.005763603,0.00152525,0.006027783,0.007701198,0.00183341,0.409559],"category_scores_gemma":[0.01493824,0.005364787,0.003450622,0.004881001,0.001073079,0.005851796,0.005356331,0.004488828,0.4264565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00125694,"about_ca_system_score_gemma":0.002211996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003842588,"about_ca_topic_score_gemma":0.004187945,"domain_scores_codex":[0.9969405,0.0005816097,0.0002970161,0.0007066427,0.001047848,0.0004264337],"domain_scores_gemma":[0.9922483,0.00243433,0.000738504,0.001786143,0.002249773,0.0005429915],"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":[0.000186257,0.00003311259,0.0006293129,0.0007075592,0.0001310542,0.00006109395,0.0001285162,0.0004104056,0.001204153,0.001121284,0.977598,0.01778929],"study_design_scores_gemma":[0.000331449,0.0000446788,0.00254143,0.0003746561,0.0001623095,0.000301142,0.00008309181,0.004134001,0.01075299,0.00806022,0.9729291,0.0002849725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0005482769,0.0003326239,0.03944401,0.0002708538,0.0002535108,0.00008313848,0.09360203,0.8607867,0.004678737],"genre_scores_gemma":[0.003845966,0.0002606363,0.03004288,0.0002873681,0.000111927,0.0004198787,0.09163437,0.8626004,0.01079647],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.409559,"threshold_uncertainty_score":0.8421925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03436001222060878,"score_gpt":0.2578522667673842,"score_spread":0.2234922545467754,"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."}}