{"id":"W6889707893","doi":"10.26022/ieda/330231","title":"Processed sub-bottom SEG-Y files acquired near-bottom in 2013 from the continental slope of the Canadian Beaufort Sea with MBARI mapping AUV on mission 20131002m1","year":2021,"lang":"en","type":"dataset","venue":"LDEO - Lamont-Doherty Earth Observatory, Columbia University","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beaufort sea; Cruise; Geological survey; Beaufort scale; Continental shelf; Remotely operated underwater vehicle; Seabed","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":[0.0005059044,0.00160891,0.0007623237,0.003526363,0.001569391,0.001512642,0.002220004,0.0009198358,0.01691647],"category_scores_gemma":[0.001824982,0.0005010546,0.0008345824,0.006980071,0.000466436,0.000565495,0.001372287,0.0009320275,0.01752911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00555946,"about_ca_system_score_gemma":0.01043506,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9092411,"about_ca_topic_score_gemma":0.9612443,"domain_scores_codex":[0.9993386,0.00002626484,0.00003332477,0.0001360342,0.0002745934,0.000191117],"domain_scores_gemma":[0.9983981,0.00007451088,0.00007253925,0.0001872642,0.00113747,0.0001301568],"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":[0.0001058654,0.00003036574,0.008178459,0.0003137129,0.00007252249,0.00007193582,0.0001050913,0.0007985086,0.0004687415,0.0003446297,0.9819437,0.007566432],"study_design_scores_gemma":[0.0001197122,0.00001554678,0.1092092,0.0003490587,0.00005962512,0.00009102884,0.0006511798,0.00163719,0.001360655,0.0005229693,0.8858923,0.00009159653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001023428,0.00005272641,0.00007371519,0.00003574345,0.00001730644,0.00001264489,0.9976549,0.0002267584,0.0009027077],"genre_scores_gemma":[0.00141133,0.00003220684,0.0003096467,0.00001341011,0.000002644417,0.00002524823,0.9973119,0.00004194395,0.0008516061],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09075886,"threshold_uncertainty_score":0.1825867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810163930569262,"score_gpt":0.1906059523173364,"score_spread":0.1725043130116438,"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."}}