{"id":"W6958870969","doi":"10.7297/x20863rp","title":"Goldilocks story translation","year":2018,"lang":"en","type":"other","venue":"California Digital Library","topic":"Jungian Analytical Psychology","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Goldilocks principle; Arrow; Semantics (computer science); Focus (optics); Translation (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004897371,0.0009468962,0.000362764,0.001708921,0.002176259,0.003133221,0.0009872876,0.001121219,0.7449352],"category_scores_gemma":[0.00444261,0.0003506251,0.0001943962,0.00161856,0.0006263655,0.002122127,0.003106828,0.001408512,0.4896724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001841931,"about_ca_system_score_gemma":0.00133465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0154117,"about_ca_topic_score_gemma":0.0418593,"domain_scores_codex":[0.9994512,0.00008365081,0.00002662255,0.00007459005,0.0002636351,0.0001002588],"domain_scores_gemma":[0.9986766,0.0002878686,0.00004518979,0.0001901594,0.000591349,0.0002087758],"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":[0.00001992616,0.00000870855,0.00002580256,0.00003970689,4.127249e-7,0.00002888738,0.0003406453,0.000009124341,0.00008203478,0.001895788,0.9837399,0.013809],"study_design_scores_gemma":[0.00001048805,0.000003594726,0.0004473381,0.00005532848,6.901894e-7,0.00005588184,0.0004628923,0.00001871277,0.0002076266,0.0008674581,0.9978648,0.000005228885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008983123,0.0001204459,0.0005949776,0.001188151,0.001030747,0.00008662436,0.02378265,0.001191151,0.9711068],"genre_scores_gemma":[0.01561715,0.000329783,0.001350206,0.0006720923,0.0003644268,0.0003134429,0.0229559,0.004258567,0.9541383],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7449352,"threshold_uncertainty_score":0.363819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920883156440248,"score_gpt":0.2662506286137473,"score_spread":0.2470417970493448,"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."}}