{"id":"W4393709008","doi":"10.5281/zenodo.10385741","title":"21158691-INST0044-Object1","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0006511181,0.0061992,0.002585516,0.003605355,0.001398344,0.002949574,0.004525453,0.003280381,0.1590872],"category_scores_gemma":[0.0023083,0.001682688,0.001660539,0.005801737,0.0007120608,0.002540086,0.003804706,0.002396698,0.3284876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002011683,"about_ca_system_score_gemma":0.002067723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0414408,"about_ca_topic_score_gemma":0.08423335,"domain_scores_codex":[0.9987504,0.000118913,0.00008755764,0.0004382036,0.0003694418,0.0002354296],"domain_scores_gemma":[0.9991121,0.0001261198,0.00006021662,0.0003283766,0.000253039,0.0001200801],"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":[0.00004411086,0.00002400618,0.0002760315,0.0003715714,0.00001611186,0.00001812745,0.00002246832,0.0002121501,0.0002360363,0.0003307696,0.9953325,0.003116147],"study_design_scores_gemma":[0.00011701,0.0000141505,0.001274948,0.0001047452,0.00001441194,0.00006193335,0.00005985648,0.0005508971,0.0006934576,0.0006086595,0.9964725,0.0000275232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002057218,0.00009760372,0.0002656347,0.00004281892,0.00003722188,0.00002225401,0.9934284,0.003386014,0.002514362],"genre_scores_gemma":[0.0002518492,0.00003568117,0.0004674477,0.00001814901,0.000003309883,0.00003321474,0.9981319,0.0003198877,0.0007384791],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1590872,"threshold_uncertainty_score":0.5321998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03816078472843384,"score_gpt":0.2252879514908747,"score_spread":0.1871271667624409,"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."}}