{"id":"W6996917630","doi":"","title":"IN TORONTO •[▼].【０７２９９４９２５６】•[▼].BRING BACK YOUR EX SPELL TORONTO, TORONTO","year":2021,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spell; Happiness; Happening; Variety (cybernetics); Front (military)","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":["insufficient_payload"],"category_scores_codex":[0.0003207857,0.001150411,0.0006475698,0.0007250862,0.006431039,0.0053415,0.0008204628,0.001840306,0.8688557],"category_scores_gemma":[0.001111609,0.0006244563,0.0006273931,0.001320908,0.0009591796,0.002226762,0.003080106,0.002160114,0.7117532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004930852,"about_ca_system_score_gemma":0.005902857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2624342,"about_ca_topic_score_gemma":0.6485307,"domain_scores_codex":[0.999644,0.00002451359,0.00001082059,0.00006858393,0.000133823,0.0001182084],"domain_scores_gemma":[0.9984097,0.0000429726,0.0000353331,0.00007796545,0.0004200227,0.001014008],"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":[0.00002367762,0.00001009801,0.0001756353,0.00006024685,0.000001758064,0.00009050059,0.000189519,0.00001853868,0.000187775,0.0005035404,0.9893246,0.009414163],"study_design_scores_gemma":[0.000006486453,0.000007773758,0.0006729979,0.00004226666,0.000001901003,0.00002403837,0.0003238073,0.00001496449,0.00007205219,0.00005401639,0.9987738,0.00000593801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001169472,0.001332595,0.000350517,0.004752663,0.003642526,0.0001735968,0.009749906,0.002431099,0.9763976],"genre_scores_gemma":[0.001877572,0.0004513455,0.0001467928,0.0005648182,0.0001458616,0.00002336781,0.001165341,0.0004735671,0.9951512],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2624342,"threshold_uncertainty_score":0.5218134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02096600701488857,"score_gpt":0.2912850549920465,"score_spread":0.2703190479771579,"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."}}