{"id":"W6968823100","doi":"10.5281/zenodo.5514359","title":"XanaduAI/thewalrus: Release 0.16.2","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Xanadu Quantum Technologies (Canada)","funders":"","keywords":"Troubleshooting; Action (physics); Component (thermodynamics); Product (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":[0.003416688,0.003456149,0.001689592,0.00202613,0.001182643,0.005617202,0.004813358,0.001940452,0.3067545],"category_scores_gemma":[0.01160107,0.003325624,0.002319195,0.001684073,0.00115585,0.005694146,0.004425917,0.00463613,0.4204551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502944,"about_ca_system_score_gemma":0.001477325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00342118,"about_ca_topic_score_gemma":0.002631455,"domain_scores_codex":[0.9976738,0.0003673547,0.0001578673,0.0005286998,0.0009761201,0.0002961927],"domain_scores_gemma":[0.9956548,0.0009815781,0.0002779812,0.001697481,0.001115607,0.000272564],"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":[0.000265437,0.00003059801,0.0004292121,0.0003656333,0.00003830545,0.00004948997,0.0001544484,0.0002870428,0.00128662,0.004866485,0.9604347,0.03179187],"study_design_scores_gemma":[0.0001146889,0.00002651216,0.0005822778,0.0001547307,0.00002839648,0.0001077075,0.00002879647,0.00111626,0.005922886,0.004340044,0.9874901,0.00008755145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001030495,0.0005904203,0.04407767,0.0006166624,0.0008460571,0.0001242203,0.03128999,0.8753479,0.04607653],"genre_scores_gemma":[0.009123709,0.0004869599,0.02774813,0.0008670987,0.0003149328,0.0004816135,0.06757723,0.8019327,0.09146766],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3067545,"threshold_uncertainty_score":0.9888306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03427577484146149,"score_gpt":0.2492396716800864,"score_spread":0.2149638968386249,"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."}}