{"id":"W6893218092","doi":"10.5281/zenodo.14713036","title":"HistogramZoo","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.000583732,0.001206349,0.0008501926,0.002052198,0.001286361,0.003759335,0.001634421,0.001110261,0.7287219],"category_scores_gemma":[0.001937346,0.0005491467,0.0006689943,0.001600773,0.0004356688,0.002049349,0.001982067,0.001294224,0.5762814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001,"about_ca_system_score_gemma":0.001458844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00741785,"about_ca_topic_score_gemma":0.01008116,"domain_scores_codex":[0.9994383,0.00005611742,0.00001824373,0.0001335931,0.0002513097,0.0001023919],"domain_scores_gemma":[0.9989675,0.0001114774,0.00003969292,0.0002656414,0.0003571961,0.0002586226],"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":[0.0001317204,0.00003390425,0.000160021,0.0001128728,0.000006637139,0.00002151873,0.0000213851,0.0002659923,0.0006902895,0.007589475,0.9091647,0.08180158],"study_design_scores_gemma":[0.00003688185,0.00001218802,0.0002473783,0.00002505664,0.000006166021,0.00002955699,0.00001178762,0.0005761866,0.0006320425,0.003197644,0.995214,0.00001120369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.001143753,0.0005781473,0.01414172,0.001254299,0.00125885,0.0001768592,0.04503772,0.04464853,0.8917601],"genre_scores_gemma":[0.008614803,0.0004813254,0.008092406,0.0007350951,0.0003498446,0.0001605369,0.03658764,0.01781774,0.9271605],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.7287219,"threshold_uncertainty_score":0.3869453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02683465669652565,"score_gpt":0.2491623501319529,"score_spread":0.2223276934354273,"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."}}