{"id":"W947230046","doi":"","title":"vm119_0601b-- Video mosaic segments","year":2007,"lang":"en","type":"article","venue":"downloadable data","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sonar; Mosaic; Benthic habitat; Remotely operated vehicle; Benthic zone; Remotely operated underwater vehicle; Remote sensing; Geography; Computer science; Oceanography; Geology; Artificial intelligence; Archaeology","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":[0.0001458476,0.0003549798,0.000214762,0.001357141,0.0004921242,0.0004803789,0.0003446461,0.0003708417,0.04670842],"category_scores_gemma":[0.0005092596,0.0001678775,0.0001735723,0.001292537,0.0001301765,0.0003553949,0.0003620017,0.0002647182,0.01471775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006142093,"about_ca_system_score_gemma":0.0007613479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05673437,"about_ca_topic_score_gemma":0.08870617,"domain_scores_codex":[0.9998643,0.000004739594,0.000004291265,0.00002648537,0.0000695679,0.00003053161],"domain_scores_gemma":[0.9996872,0.00002021521,0.00001485648,0.00004522707,0.0001944588,0.00003794902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001757561,0.0002289475,0.008660883,0.0005167736,0.00003709485,0.0006982574,0.0005781957,0.002895219,0.2232703,0.001807686,0.3080821,0.451467],"study_design_scores_gemma":[0.0001451262,0.0003316791,0.176622,0.0001462553,0.00003535193,0.0007573852,0.000661733,0.02078747,0.1119139,0.001145623,0.6873593,0.00009412161],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2058064,0.0005066903,0.05809772,0.0004414731,0.0004240411,0.002107308,0.4707913,0.03135203,0.2304732],"genre_scores_gemma":[0.3039068,0.0004979133,0.0987751,0.0001929222,0.0001378384,0.0009691087,0.5007098,0.004940529,0.08986994],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05673437,"threshold_uncertainty_score":0.1562552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05574760285659001,"score_gpt":0.2939984870358344,"score_spread":0.2382508841792444,"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."}}