{"id":"W4393422656","doi":"10.5281/zenodo.7589952","title":"Cell-Cell Interaction Database","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Sinai Health System; Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"Database; Computer science; Cell; Biology; Genetics","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":[0.001392841,0.001666363,0.002490285,0.006546443,0.001555257,0.00425974,0.004151863,0.002059315,0.1298595],"category_scores_gemma":[0.004023796,0.0006466876,0.001493228,0.007602667,0.0002162463,0.002241601,0.00382571,0.001833136,0.1318303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276474,"about_ca_system_score_gemma":0.00247133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002927911,"about_ca_topic_score_gemma":0.005903777,"domain_scores_codex":[0.998363,0.0001820757,0.0003244303,0.0003143935,0.0006503211,0.0001658986],"domain_scores_gemma":[0.9977701,0.0004329831,0.000194552,0.0005549534,0.000795781,0.0002516478],"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":[0.0004873295,0.00009910194,0.00170306,0.00340625,0.0001687288,0.0003020302,0.00008978321,0.0006882014,0.008320887,0.006435174,0.9340307,0.04426887],"study_design_scores_gemma":[0.00005863452,0.00003169708,0.001691147,0.0001856467,0.00007455136,0.0003540666,0.0000441263,0.0007332968,0.002289065,0.002329571,0.992172,0.00003619699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001919604,0.004038387,0.00904915,0.0005839919,0.0003369703,0.0003027368,0.9393441,0.01182822,0.03259686],"genre_scores_gemma":[0.003595102,0.001779467,0.008387642,0.0004504774,0.00004949224,0.0003883335,0.978332,0.0007863812,0.006231036],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1298595,"threshold_uncertainty_score":0.4344233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064698663511524,"score_gpt":0.2645010821094646,"score_spread":0.2438540954743494,"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."}}