{"id":"W6912357705","doi":"10.5281/zenodo.4268399","title":"Algorithmic considerations when analysing capture Hi-C data","year":2020,"lang":"en","type":"article","venue":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Data collection; Key (lock); Process (computing); Field (mathematics); Context (archaeology)","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":[],"consensus_categories":[],"category_scores_codex":[0.04672445,0.0019239,0.001781176,0.00399647,0.003307268,0.01486355,0.005313841,0.004456109,0.02470976],"category_scores_gemma":[0.2970323,0.00211464,0.003445117,0.004856171,0.004425173,0.01091141,0.007886263,0.00804633,0.009903289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002044718,"about_ca_system_score_gemma":0.00483099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003127419,"about_ca_topic_score_gemma":0.00628577,"domain_scores_codex":[0.9647548,0.02075687,0.00246052,0.003634046,0.007328359,0.001065423],"domain_scores_gemma":[0.7129725,0.2335095,0.00420282,0.03690141,0.01094197,0.001471772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001786431,0.0004105406,0.01456238,0.002072808,0.0007758936,0.002281442,0.003048454,0.06130169,0.01600387,0.4846858,0.1579307,0.2551399],"study_design_scores_gemma":[0.0002248156,0.00008757981,0.002996091,0.0004215747,0.0001273631,0.001141322,0.001158607,0.1729634,0.01087042,0.7408487,0.06899957,0.0001604116],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01001208,0.0004461799,0.9662691,0.003458724,0.0006877277,0.0007152781,0.006567705,0.005172804,0.006670432],"genre_scores_gemma":[0.06470992,0.0002500025,0.9167052,0.00171041,0.0005528033,0.001236442,0.009533124,0.00317216,0.002129919],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04672445,"threshold_uncertainty_score":0.2471055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09121095867346364,"score_gpt":0.2540267781309061,"score_spread":0.1628158194574425,"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."}}