{"id":"W7090912917","doi":"10.5281/zenodo.17349155","title":"pymc-devs/pytensor: rel-2.35.0","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"GNSS positioning and interference","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Documentation; Python (programming language); Thumbnail; Correctness; Sketch","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":[0.00222573,0.004333269,0.002041199,0.001744825,0.001489305,0.004894842,0.007817819,0.002851089,0.4715255],"category_scores_gemma":[0.01248224,0.004248083,0.003113017,0.001354395,0.001250997,0.007107053,0.006665527,0.007216156,0.5831767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002210588,"about_ca_system_score_gemma":0.002663665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006217912,"about_ca_topic_score_gemma":0.004450426,"domain_scores_codex":[0.9982116,0.0001580849,0.0001326605,0.0004255351,0.0007271967,0.0003449343],"domain_scores_gemma":[0.9958561,0.0007224476,0.0001674847,0.001489241,0.001271293,0.0004933708],"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":[0.0002091161,0.00004541579,0.0004691729,0.0003382466,0.00003631243,0.00008952401,0.0001270964,0.000555256,0.001752106,0.002640256,0.9697475,0.02399009],"study_design_scores_gemma":[0.0002120732,0.00003404606,0.0009657264,0.0002206213,0.00003624088,0.0002347785,0.00006622416,0.004001791,0.01691017,0.00561071,0.9715487,0.0001589491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0004236178,0.0001349726,0.03283704,0.0002682885,0.0004167934,0.0001104703,0.01666242,0.9309716,0.01817478],"genre_scores_gemma":[0.005728502,0.0002136995,0.0183316,0.0007396972,0.00009911552,0.0004262983,0.03624598,0.9000987,0.03811636],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.4715255,"threshold_uncertainty_score":0.7538047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719069220131662,"score_gpt":0.2128856160419231,"score_spread":0.1956949238406065,"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."}}