{"id":"W6931726453","doi":"10.5281/zenodo.8329219","title":"silx-kit/pyFAI: pyFAI-2023.09","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Xenon Pharmaceuticals (Canada)","funders":"","keywords":"Compatibility (geochemistry); Troubleshooting; Selection (genetic algorithm); Generator (circuit theory); Test (biology)","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":[0.004120175,0.003984266,0.001733492,0.002144626,0.001190416,0.003189106,0.004232311,0.001947098,0.2896221],"category_scores_gemma":[0.01316913,0.002567426,0.001924888,0.001156521,0.001031416,0.004301225,0.003985763,0.003916717,0.3506539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665432,"about_ca_system_score_gemma":0.001873091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00258645,"about_ca_topic_score_gemma":0.001944379,"domain_scores_codex":[0.9969555,0.000333406,0.0001966497,0.0007421468,0.001347811,0.000424383],"domain_scores_gemma":[0.9933518,0.001212763,0.0004018672,0.002525298,0.002033019,0.0004752104],"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":[0.0006104488,0.00006556843,0.001829108,0.0004636329,0.00008321401,0.0001534454,0.0001164179,0.0009482569,0.007591361,0.003187597,0.9189395,0.06601152],"study_design_scores_gemma":[0.0002907053,0.0001172987,0.003777435,0.0002389197,0.00008035266,0.0007017851,0.0000508225,0.01119735,0.06521125,0.007687857,0.910384,0.0002622064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001265928,0.0001459437,0.05141981,0.000297009,0.0003424472,0.00008995017,0.01495388,0.9200807,0.01140423],"genre_scores_gemma":[0.02292067,0.0002293823,0.05481726,0.00091264,0.000233396,0.0006008413,0.06482202,0.7935585,0.06190536],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2896221,"threshold_uncertainty_score":0.9688824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06185452168792135,"score_gpt":0.2354318636037912,"score_spread":0.1735773419158698,"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."}}