{"id":"W6930301617","doi":"10.5281/zenodo.11689976","title":"2023 dinghy towing guide pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Articular cartilage damage; Limiting; Frame (networking)","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001258352,0.0003303596,0.0003267087,0.001209646,0.0008350849,0.003518328,0.004139624,0.0002107019,0.15498],"category_scores_gemma":[0.001156313,0.0003461149,0.0001214036,0.001707329,0.0001611488,0.000262503,0.004878431,0.0006658746,0.329032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002296603,"about_ca_system_score_gemma":0.00001677757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004417944,"about_ca_topic_score_gemma":4.296893e-7,"domain_scores_codex":[0.9962232,0.0004665162,0.0004341257,0.001118295,0.001097701,0.000660212],"domain_scores_gemma":[0.9975718,0.00003806277,0.0001718756,0.001410624,0.0004631469,0.0003444566],"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":[0.000002249125,0.00004075419,3.795867e-8,0.0001492974,0.00007978995,0.00007881497,0.000147771,0.00002721671,0.00004725997,0.009258801,0.9350765,0.0550915],"study_design_scores_gemma":[0.0002071537,0.00007728832,0.000001499009,0.0001830583,0.00001657143,0.00009703216,0.00003166001,0.01138705,0.0000273778,0.0003600578,0.9872704,0.0003408648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[1.891745e-7,0.0004611388,0.2854009,0.0006777121,0.0004982923,0.0003996222,0.0001140769,0.002064847,0.7103832],"genre_scores_gemma":[0.00002690449,0.0003506276,0.02212506,0.0001453455,0.0005481548,1.277175e-7,0.0007186932,0.007393708,0.9686913],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2632759,"threshold_uncertainty_score":0.9998991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0341866335488046,"score_gpt":0.2747473078308493,"score_spread":0.2405606742820447,"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."}}