{"id":"W4399723242","doi":"10.32920/26052580.v1","title":"Gamified NFT Loot Box: Smart Contract Studies and Prototype","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Business; Computer science; Computer graphics (images); Commerce","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001639393,0.0003102356,0.0004106051,0.0001111084,0.00002699275,0.0001001388,0.00009438236,0.0002333974,0.00002380403],"category_scores_gemma":[0.00007404042,0.000272858,0.00005321512,0.00007574851,0.00002764381,0.00003944573,0.0003641844,0.0005433564,0.00006930665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000878988,"about_ca_system_score_gemma":0.00003902609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002691332,"about_ca_topic_score_gemma":0.00006849827,"domain_scores_codex":[0.9990137,0.00001646497,0.0002959331,0.0003367873,0.0001323622,0.0002047936],"domain_scores_gemma":[0.9994758,0.00006825747,0.00003451827,0.0002823264,0.00008636459,0.00005276305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001084198,0.00007972323,0.002973285,0.03614089,0.004253802,0.0001661886,0.004619285,0.8845147,0.002477062,0.007510145,0.04020759,0.01694892],"study_design_scores_gemma":[0.0006375873,0.0001087463,0.002710442,0.002462812,0.0004371791,0.00002259524,0.0002671519,0.9734655,0.004132152,0.008710728,0.005575927,0.001469186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4927444,0.1575152,0.1280327,0.002860053,0.01898765,0.0174287,0.0001671704,0.02025676,0.1620073],"genre_scores_gemma":[0.986803,0.001637946,0.009400121,0.00004370895,0.0002845713,0.0003386476,0.00003708806,0.0001117854,0.001343156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4940585,"threshold_uncertainty_score":0.9999723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01952810509852138,"score_gpt":0.2735940203688471,"score_spread":0.2540659152703257,"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."}}