{"id":"W7117292180","doi":"10.5281/zenodo.18054823","title":"Anycubic Canada Discount Code \"HPK90\" – Save 90% Instantly","year":2025,"lang":"","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spare part; Code (set theory); Product (mathematics); Reading (process); Revenue; 3D printing","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":[0.000532733,0.0009959001,0.0005635451,0.001779981,0.004588168,0.007850669,0.001561168,0.002549416,0.729426],"category_scores_gemma":[0.003621302,0.0008246074,0.0006229138,0.001643098,0.0009799318,0.003487101,0.002451624,0.002791163,0.5392806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008102509,"about_ca_system_score_gemma":0.01294668,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6084394,"about_ca_topic_score_gemma":0.7780045,"domain_scores_codex":[0.9984452,0.00003762851,0.00002167463,0.0001029951,0.001172718,0.0002197993],"domain_scores_gemma":[0.9958947,0.0001144714,0.00005357574,0.0002070895,0.003050931,0.0006792045],"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":[0.00001618609,0.00001530067,0.0000824355,0.0000300201,0.000001305335,0.00002694629,0.00005765297,0.00003788677,0.0002418678,0.00258567,0.9758765,0.02102823],"study_design_scores_gemma":[0.000002669273,0.000002495208,0.0001722969,0.00002223606,0.000001238548,0.00002647957,0.00007440704,0.00005029618,0.00011808,0.0001564702,0.9993629,0.00001044304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006460521,0.0004590171,0.001316592,0.001892378,0.00120586,0.0001546237,0.00354631,0.002921466,0.9878577],"genre_scores_gemma":[0.002220718,0.0003544332,0.0008454886,0.0007897632,0.00006645904,0.00002634764,0.001469104,0.001325825,0.9929019],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6084394,"threshold_uncertainty_score":0.7877331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02735476280850266,"score_gpt":0.3016103157474148,"score_spread":0.2742555529389121,"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."}}