{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005238693,0.001670206,0.0009125059,0.002745854,0.0006422333,0.001558201,0.001579951,0.001513731,0.04627918],"category_scores_gemma":[0.003214105,0.0004461052,0.0007770664,0.004160513,0.0003022824,0.000848122,0.001415511,0.001313492,0.08832956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170348,"about_ca_system_score_gemma":0.001724007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0471948,"about_ca_topic_score_gemma":0.1093683,"domain_scores_codex":[0.9993924,0.00006523144,0.00005310689,0.000188862,0.0001782869,0.0001221782],"domain_scores_gemma":[0.9988788,0.000178523,0.0001125508,0.0002774613,0.000396908,0.0001557717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004686532,0.0000161228,0.0009542867,0.000163243,0.000009779207,0.00001714852,0.0000221446,0.0001760759,0.00007627994,0.0001832744,0.9962644,0.002070491],"study_design_scores_gemma":[0.0001499983,0.00002146331,0.012488,0.0001629544,0.00001541511,0.00006749233,0.0001462768,0.0006927421,0.0004319758,0.0009223234,0.9848702,0.00003118837],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003371146,0.00004171763,0.00006076627,0.00004623008,0.00002800204,0.00001120165,0.998172,0.0003354507,0.0009674784],"genre_scores_gemma":[0.0004683955,0.00002192018,0.0001680097,0.00001850715,0.000005840297,0.00003512093,0.9982457,0.00004212905,0.0009943675],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0471948,"threshold_uncertainty_score":0.1548193,"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."}}