{"id":"W6927560196","doi":"10.3389/fmars.2022.833617.s001","title":"DataSheet_1_Transects in the deep: Opportunities with tele-operated resident seafloor robots.docx","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Web crawler; Jellyfish; Submarine pipeline; Fish <Actinopterygii>; Canyon; Abiotic component","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005585545,0.001029981,0.0006045146,0.002053955,0.0005870409,0.001383292,0.001738335,0.0007552163,0.559134],"category_scores_gemma":[0.002258921,0.0009396023,0.0007183108,0.002223236,0.000306411,0.001835084,0.001552212,0.0011812,0.2876464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005693262,"about_ca_system_score_gemma":0.0006885434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0108978,"about_ca_topic_score_gemma":0.02400033,"domain_scores_codex":[0.99972,0.00002388091,0.00004004888,0.00006178916,0.0001090659,0.00004521126],"domain_scores_gemma":[0.9980786,0.0004811729,0.0001083551,0.0004093187,0.0007190017,0.0002035835],"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":[0.0001765772,0.00005521268,0.002708161,0.0005952056,0.00001970457,0.00009111092,0.0001787026,0.0004920588,0.001519308,0.0006905,0.9427263,0.05074722],"study_design_scores_gemma":[0.00009498517,0.00003641489,0.009729668,0.0001639179,0.000009803028,0.0000942806,0.00009630263,0.0006596973,0.001635586,0.0008500388,0.9865911,0.00003817376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003457594,0.0001979725,0.01716229,0.0003563059,0.0005077631,0.0006429938,0.8286366,0.04655664,0.1024819],"genre_scores_gemma":[0.02510573,0.0005155661,0.05276601,0.0008493668,0.0002277015,0.001962863,0.7476401,0.04330263,0.12763],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.559134,"threshold_uncertainty_score":0.6288418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05278614850784798,"score_gpt":0.2539734191171076,"score_spread":0.2011872706092596,"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."}}