{"id":"W4393552393","doi":"10.5281/zenodo.6577860","title":"SpatialSort: Supporting Datasets","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Terry Fox Research Institute; BC Cancer Agency","funders":"","keywords":"Computer science","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":[0.00263435,0.003019516,0.002033766,0.004708773,0.001802765,0.003344059,0.005141891,0.002994736,0.1303011],"category_scores_gemma":[0.01352989,0.001171628,0.002074706,0.008162767,0.0007488378,0.002388718,0.003187536,0.00307754,0.1516397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175613,"about_ca_system_score_gemma":0.003272307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.016494,"about_ca_topic_score_gemma":0.03530541,"domain_scores_codex":[0.9978114,0.0004478683,0.0002832047,0.0006433868,0.0005511633,0.0002630106],"domain_scores_gemma":[0.9965808,0.00111212,0.0002354143,0.001097778,0.0006708504,0.0003029472],"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":[0.00006022696,0.00002255698,0.0004830561,0.0004527874,0.0000326345,0.00002729715,0.00002605914,0.000620159,0.0001778036,0.0007272304,0.9952911,0.002079077],"study_design_scores_gemma":[0.0003608891,0.00002490037,0.002015576,0.0002831724,0.00005313842,0.0001210014,0.0001312641,0.001308098,0.0008831599,0.007512298,0.9872438,0.00006281433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001307407,0.00005698939,0.0003619246,0.00007478281,0.00002829074,0.00002669226,0.9974348,0.001334653,0.0005511772],"genre_scores_gemma":[0.0004141896,0.00004827213,0.00136352,0.00007169031,0.00000759634,0.0002010336,0.9971154,0.0003519969,0.0004263519],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1303011,"threshold_uncertainty_score":0.4359007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03703822458885673,"score_gpt":0.296882333592253,"score_spread":0.2598441090033963,"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."}}