{"id":"W6944901454","doi":"10.24433/co.9049511.v1","title":"CoBE_R Stats library function scale and var example","year":2021,"lang":"en","type":"other","venue":"Code Ocean","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Scale (ratio); Function (biology); Data source; Key (lock); Information source (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":[0.003405256,0.003534904,0.002352586,0.00469734,0.001128887,0.004382818,0.003454242,0.001466336,0.3736773],"category_scores_gemma":[0.02599438,0.002603806,0.002938134,0.003819344,0.0007106771,0.003600685,0.003324219,0.002523221,0.3498515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001278614,"about_ca_system_score_gemma":0.002479715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007128256,"about_ca_topic_score_gemma":0.01110025,"domain_scores_codex":[0.9971072,0.0006592402,0.000281498,0.0009197062,0.0007478766,0.0002845325],"domain_scores_gemma":[0.989689,0.005873375,0.0005732658,0.002160254,0.001427106,0.0002770002],"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":[0.00009872566,0.00001317764,0.000936032,0.0003639197,0.00006102094,0.00003199848,0.00003407877,0.0003949917,0.0002033618,0.001272549,0.9889954,0.007594683],"study_design_scores_gemma":[0.0002870107,0.00002879749,0.003296771,0.0003382,0.00008539683,0.0002141954,0.00005427982,0.003642966,0.002542842,0.01314976,0.9762341,0.0001257352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0009079942,0.0003338372,0.03401578,0.0006257863,0.0003849305,0.0001826491,0.7144531,0.234807,0.01428897],"genre_scores_gemma":[0.009445425,0.0004519355,0.0468588,0.001352911,0.0003111064,0.001501644,0.6311711,0.2892064,0.01970063],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.3736773,"threshold_uncertainty_score":0.8933734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488330163774453,"score_gpt":0.2315733877771267,"score_spread":0.2066900861393821,"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."}}