{"id":"W6931418077","doi":"10.5281/zenodo.6528613","title":"clEsperanto/napari_pyclesperanto_assistant: 0.18.0","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Documentation; Function (biology); Argument (complex analysis); Position (finance); Backward compatibility","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":[0.002523914,0.00320639,0.001568494,0.002708677,0.000945847,0.004525471,0.004536911,0.001737351,0.5454279],"category_scores_gemma":[0.009048104,0.002545875,0.001690672,0.001687964,0.0008719595,0.004727604,0.004453911,0.003363649,0.6346591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698034,"about_ca_system_score_gemma":0.001395994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003617513,"about_ca_topic_score_gemma":0.002292815,"domain_scores_codex":[0.9986163,0.0001656523,0.0001057281,0.0003742936,0.0005023515,0.0002355909],"domain_scores_gemma":[0.994932,0.0007783739,0.0002485668,0.001700053,0.001823181,0.0005178142],"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":[0.0003052583,0.00004408535,0.0003300992,0.0003807209,0.00002685665,0.00009023884,0.0001346758,0.0003450686,0.002318488,0.004277814,0.9076197,0.08412694],"study_design_scores_gemma":[0.000098071,0.00002460841,0.0007737303,0.0001113336,0.0000153459,0.0003124228,0.0000302867,0.00186663,0.01013751,0.00309243,0.9834441,0.00009346558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0004854635,0.000191942,0.06151794,0.0002461664,0.0002568497,0.00009506975,0.0130913,0.889281,0.03483436],"genre_scores_gemma":[0.008939954,0.0003154864,0.03868004,0.0005249727,0.0002162784,0.0002886479,0.0337178,0.8230145,0.0943023],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.5454279,"threshold_uncertainty_score":0.6483919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05442491712251578,"score_gpt":0.2561029424448777,"score_spread":0.2016780253223619,"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."}}