{"id":"W7039740630","doi":"","title":"IN MONTREAL (_+^_[[[[[+27`72`994`9256]]]]].(_+^_LOST LOVE SPELL CASTER MONTREAL, MONTREAL","year":2021,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Cybersecurity and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spell; Happiness; Happening; Caster; Laziness; Project commissioning","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003003925,0.001134357,0.00157676,0.001015323,0.00007465708,0.000800251,0.004101895,0.001254021,0.5875425],"category_scores_gemma":[0.0005937192,0.001272489,0.000607629,0.0008903837,0.0002145579,0.001210259,0.004184854,0.001366915,0.9224098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006339954,"about_ca_system_score_gemma":0.0004927007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0447226,"about_ca_topic_score_gemma":0.05621465,"domain_scores_codex":[0.9907141,0.001004634,0.001798735,0.003846062,0.001281381,0.001355112],"domain_scores_gemma":[0.9894118,0.0004437331,0.00116507,0.008160647,0.0002317847,0.0005869828],"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":[0.00005611112,0.0005352299,0.0009736359,0.0003749621,0.0002967099,0.0005802152,0.00922367,0.0005954962,0.00006020716,0.001336281,0.9745965,0.01137095],"study_design_scores_gemma":[0.002017139,0.000004061929,0.003545868,0.0008757642,0.0000593606,0.0003050278,0.0004886623,0.008039667,0.0003669446,0.00156096,0.9812291,0.001507402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002446356,0.00005582999,0.009848108,0.0005368621,0.002123235,0.001710994,0.00008917484,0.0002383211,0.9851528],"genre_scores_gemma":[0.002317888,0.0005606135,0.001410547,0.000535029,0.0005131608,0.00003258397,0.0001029525,0.0002625142,0.9942647],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3348674,"threshold_uncertainty_score":0.9989725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218080656376916,"score_gpt":0.2342418632532353,"score_spread":0.2220610566894662,"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."}}