{"id":"W6912508998","doi":"10.5281/zenodo.3516306","title":"linsalrob/PhiSpy: Version 3.4.5","year":2019,"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":"Tellabs (Canada)","funders":"","keywords":"Set (abstract data type); Focus (optics); Process (computing); Action (physics); Identification (biology); Work (physics); Perspective (graphical)","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":[0.004229825,0.00502892,0.002406613,0.003383446,0.001509457,0.006583055,0.008664968,0.003932108,0.4044515],"category_scores_gemma":[0.0131681,0.004600084,0.003634899,0.003004922,0.001395513,0.00649298,0.006440144,0.006490646,0.5133955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002133929,"about_ca_system_score_gemma":0.001980149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006886072,"about_ca_topic_score_gemma":0.00613776,"domain_scores_codex":[0.9964819,0.0006729505,0.0002548928,0.0006722635,0.001396852,0.0005210466],"domain_scores_gemma":[0.9957793,0.0008278062,0.0002167622,0.001667407,0.001156601,0.0003521646],"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":[0.0003665909,0.00002567659,0.0003053666,0.0004214987,0.00007136611,0.00006495754,0.00009109664,0.0007345966,0.001167476,0.003828108,0.9727719,0.0201514],"study_design_scores_gemma":[0.0002998023,0.00004308283,0.0004948109,0.0001652082,0.00004522653,0.0001980106,0.00003865398,0.003378721,0.008906779,0.01112959,0.9751256,0.0001743725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0005549673,0.0004693423,0.05221917,0.0005336555,0.0004133807,0.0001100978,0.04343345,0.877346,0.02492001],"genre_scores_gemma":[0.01001088,0.0003991884,0.03227245,0.0009771965,0.0002295091,0.0003458103,0.1310016,0.7801348,0.04462856],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.4044515,"threshold_uncertainty_score":0.8494776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02705730652745476,"score_gpt":0.2409821617632504,"score_spread":0.2139248552357956,"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."}}