{"id":"W7136858368","doi":"10.34943/bdb4da7d-da75-4d00-ad74-2f9ce8e2dfaf","title":"Arran Back Cove Community Fishers Device Set Deployed at CF542 (MAMKA-7) on 2024-09-18 13:26:30 Down Cast","year":2024,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Software deployment; Suite; Global Positioning System; Data set; Baseline (sea); 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":[0.0006824892,0.001108952,0.000727663,0.001694156,0.001260726,0.001350827,0.001618916,0.0009317757,0.0409322],"category_scores_gemma":[0.003164836,0.0004209543,0.000420226,0.003016866,0.0003255053,0.0010849,0.001389156,0.000999686,0.05892245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003014039,"about_ca_system_score_gemma":0.004330168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4428245,"about_ca_topic_score_gemma":0.6350079,"domain_scores_codex":[0.9993126,0.00006816395,0.00003297555,0.0001631567,0.0002649305,0.0001580591],"domain_scores_gemma":[0.9982432,0.0001293329,0.00007109453,0.000333361,0.001039172,0.0001838815],"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":[0.00003751806,0.00001043032,0.001112098,0.00005759947,0.000006031922,0.00001405037,0.00002226912,0.0001687406,0.00008286236,0.0002333306,0.996188,0.002067013],"study_design_scores_gemma":[0.00007085811,0.00001352131,0.01028303,0.0001144136,0.000007463876,0.00002008585,0.0002205335,0.0008250055,0.0003669967,0.0005017049,0.9875484,0.0000279714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006290132,0.0000287667,0.0001614833,0.0001133322,0.00005453632,0.00002798898,0.9949338,0.0005960769,0.003454936],"genre_scores_gemma":[0.001327391,0.00003068891,0.0004702549,0.00004745862,0.00000798977,0.00007307243,0.9943228,0.00009886407,0.003621518],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5571755,"threshold_uncertainty_score":0.8804941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0268349823279013,"score_gpt":0.2507908376324949,"score_spread":0.2239558553045936,"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."}}