{"id":"W7042227562","doi":"","title":"IN ONTARIO “#.]*【０７２９９４９２５６】“#.]*STOP CHEATING SPELL ONTARIO, ONTARIO","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; Happening; Happiness; Cheating; Caster; Variety (cybernetics)","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":[0.0002640933,0.000746019,0.0005849344,0.0005473439,0.00831699,0.004112065,0.000728514,0.001985038,0.816021],"category_scores_gemma":[0.001000174,0.0005728225,0.0005155577,0.00131403,0.001073912,0.00169455,0.001994211,0.0013331,0.5141835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009344327,"about_ca_system_score_gemma":0.01618355,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7106965,"about_ca_topic_score_gemma":0.931881,"domain_scores_codex":[0.999535,0.00001690462,0.00001408723,0.00008637887,0.0001982725,0.0001494758],"domain_scores_gemma":[0.9987141,0.00004654738,0.0000379222,0.00006984365,0.000525183,0.0006064191],"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":[0.00007008491,0.00002095761,0.0008547932,0.0001095057,0.000005062753,0.0001727607,0.0002944237,0.00003777226,0.0005864656,0.001225134,0.9697378,0.02688528],"study_design_scores_gemma":[0.000008163142,0.000006097014,0.001597492,0.00003894834,0.000002819442,0.00002372899,0.0003187129,0.0000222114,0.0001140216,0.00006460222,0.9977957,0.000007552524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001675797,0.0008818773,0.0002787884,0.003733965,0.001266069,0.0001159324,0.006397269,0.0007168791,0.9849333],"genre_scores_gemma":[0.001956194,0.000266299,0.00009525859,0.0004402713,0.00003076309,0.00001400204,0.0006074032,0.0001961477,0.9963936],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7106965,"threshold_uncertainty_score":0.5820144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163297951446065,"score_gpt":0.2517829091585188,"score_spread":0.2301499296440581,"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."}}