{"id":"W7105650968","doi":"10.60521/332488","title":"ROV-mounted high-resolution laser scan data acquired at vertical deep-sea habitats, Galapagos Islands, 2023 (FKt230918)","year":2025,"lang":"en","type":"dataset","venue":"Marine Geoscience Data System (MGDS) - Lamont-Doherty Earth Observatory (LDEO)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Laser scanning; Remotely operated underwater vehicle; Column (typography); Data acquisition; Remotely operated vehicle; Scanner; Water column","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":[0.0002061939,0.0003086151,0.0002484636,0.001067427,0.0003413969,0.0004375043,0.0005179425,0.0003130534,0.005913619],"category_scores_gemma":[0.000536865,0.0001913415,0.0002418184,0.001608273,0.0001664478,0.0002874586,0.0004915941,0.0003423584,0.002411513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005485859,"about_ca_system_score_gemma":0.0007599149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1310028,"about_ca_topic_score_gemma":0.22733,"domain_scores_codex":[0.9998378,0.000007370817,0.000005879084,0.00004399187,0.0000711394,0.00003390816],"domain_scores_gemma":[0.9997086,0.00001525169,0.00002988552,0.0000435918,0.0001656409,0.00003691785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001075568,0.0002779206,0.5096471,0.0007531064,0.0003657154,0.001373147,0.002305616,0.01301088,0.06304625,0.0006214234,0.2254222,0.1821011],"study_design_scores_gemma":[0.00004907585,0.00005318098,0.9540125,0.00004971442,0.00002828423,0.0001833634,0.0005592628,0.002874845,0.002085572,0.0001095754,0.03996413,0.00003033018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6766751,0.0002999932,0.002505898,0.0002604695,0.00009080015,0.0001609232,0.2953046,0.002102612,0.0225996],"genre_scores_gemma":[0.6911972,0.0002481749,0.01040547,0.000220125,0.00005027976,0.0004343902,0.2876264,0.0005748427,0.00924312],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1310028,"threshold_uncertainty_score":0.2604806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04070800905248537,"score_gpt":0.273033504821859,"score_spread":0.2323254957693736,"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."}}