{"id":"W6906288744","doi":"10.17026/ar/vzueyo","title":"Eindrapportage archeologisch vooronderzoek (22382.001) Vossen 20 te Nieuw-Milligen","year":2024,"lang":"nl","type":"dataset","venue":"DANS Data Station Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Officer; Context (archaeology)","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","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002100582,0.001185803,0.001214506,0.001263768,0.0006179875,0.0005755786,0.007352518,0.001015379,0.001246557],"category_scores_gemma":[0.000600952,0.00117385,0.0001808648,0.001249029,0.003505001,0.001882919,0.007240215,0.002537191,0.01954048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002136835,"about_ca_system_score_gemma":0.002424263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002338786,"about_ca_topic_score_gemma":0.006612021,"domain_scores_codex":[0.9904429,0.001116309,0.001852623,0.003929503,0.0009917426,0.001666926],"domain_scores_gemma":[0.99202,0.0006768068,0.001144059,0.005271977,0.0004232819,0.0004638685],"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":[0.00005315169,0.000189332,0.0003351808,0.0008583001,0.0003563531,0.0009403611,0.003114135,0.0000605797,0.00006634849,0.001999588,0.8938538,0.0981728],"study_design_scores_gemma":[0.0007202519,0.0003355227,0.0002068473,0.0002449354,0.0003730246,0.001547474,0.0009267691,0.04638982,0.0001146968,0.01271931,0.9351885,0.001232899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003043936,0.001900307,0.2586605,0.003265642,0.005620443,0.0006361436,0.7289048,0.0003658169,0.0003419224],"genre_scores_gemma":[0.001348833,0.002039021,0.03577045,0.0009609577,0.0008385023,0.00009144816,0.9534144,0.00009538998,0.005441046],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2245096,"threshold_uncertainty_score":0.999764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04072465050733277,"score_gpt":0.3094693569120625,"score_spread":0.2687447064047297,"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."}}