{"id":"W6912918802","doi":"10.5281/zenodo.6302089","title":"imageio/imageio: v2.16.1","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"AbCellera (Canada)","funders":"","keywords":"Section (typography); Table (database); Identification (biology); Key (lock)","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":[0.001085287,0.003605644,0.002013235,0.002223493,0.001261307,0.004811867,0.005984867,0.00249358,0.516067],"category_scores_gemma":[0.005222161,0.002773846,0.002689469,0.001620066,0.0009206706,0.006425865,0.006604875,0.003922374,0.6698906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244153,"about_ca_system_score_gemma":0.001260851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005209282,"about_ca_topic_score_gemma":0.004564183,"domain_scores_codex":[0.9992527,0.00005230027,0.00004264648,0.0001716915,0.00031498,0.0001656505],"domain_scores_gemma":[0.9985305,0.0001679025,0.00006184838,0.0004959147,0.0005220725,0.0002216945],"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":[0.00006805024,0.00001380324,0.0002211025,0.0002714003,0.00002732174,0.00004298113,0.00006779404,0.0002872209,0.00100656,0.00159644,0.9854049,0.01099247],"study_design_scores_gemma":[0.00007403712,0.0000103527,0.0005561833,0.000128096,0.00002193134,0.0001398693,0.00004612237,0.001975716,0.007860952,0.004922076,0.984159,0.0001056817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0005810989,0.0002059931,0.0402936,0.0004806485,0.0006496982,0.0001044767,0.1049475,0.8019284,0.05080856],"genre_scores_gemma":[0.004303641,0.0002148782,0.01844434,0.0005997301,0.0001317495,0.0002701293,0.1109177,0.8285599,0.03655803],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.516067,"threshold_uncertainty_score":0.6902717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726808647551814,"score_gpt":0.2465422502156616,"score_spread":0.2192741637401435,"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."}}