{"id":"W6943760159","doi":"10.1594/pangaea.962280","title":"Attention points from ROV survey ARTofMELT2023/1_20-2 on 2023-05-19, survey 2","year":2023,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Memory, History, Trauma, Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Remotely operated underwater vehicle; Software; Marine safety; Data collection; Global Positioning System","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","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01173658,0.0007663521,0.000863568,0.0007356462,0.004327014,0.004921585,0.00232842,0.0004907085,0.0005847366],"category_scores_gemma":[0.002159899,0.0007675628,0.0002315303,0.0003090658,0.002122823,0.003238565,0.003168824,0.001238025,0.0003513896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000389937,"about_ca_system_score_gemma":0.0001799066,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.951148,"about_ca_topic_score_gemma":0.9777119,"domain_scores_codex":[0.9926363,0.0008824134,0.0009288023,0.002462745,0.001518175,0.001571554],"domain_scores_gemma":[0.9950322,0.001287383,0.0004231435,0.002396012,0.000146793,0.0007144509],"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":[0.0003063152,0.0002857923,0.001435956,0.0003322866,0.0003201211,0.00001390214,0.00007625174,0.00001518842,0.000007918967,0.0003633829,0.9946544,0.002188496],"study_design_scores_gemma":[0.001056055,0.000201462,0.02422251,0.000123473,0.0002011371,0.00000374685,0.0001234348,0.0003627009,0.000001214703,0.0007191458,0.9722146,0.0007705483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005272262,0.001174975,0.0001155258,0.0003121711,0.01092318,0.001831787,0.980093,0.00008858454,0.000188517],"genre_scores_gemma":[0.0005860082,0.001886916,0.0001443625,0.0001574147,0.002763609,0.0001785497,0.97179,0.0001440027,0.02234912],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0265639,"threshold_uncertainty_score":0.9994775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1611208363677124,"score_gpt":0.3038832311192816,"score_spread":0.1427623947515692,"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."}}