{"id":"W6890402298","doi":"10.34943/64462361-1313-4ba6-bba9-40b8621ab2ec","title":"Gully Canyon Hydrophone Deployed 2014-05-03","year":2017,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canyon; Hydrophone; Underwater; Sound (geography); Data logger; Waveform","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":[0.0006200614,0.001779824,0.000943017,0.002783536,0.0009470978,0.001261998,0.002000662,0.00107717,0.01097262],"category_scores_gemma":[0.002667635,0.0003536722,0.000529845,0.0042642,0.0005011886,0.0007969384,0.001442626,0.001185347,0.01912649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002989895,"about_ca_system_score_gemma":0.005297433,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5094577,"about_ca_topic_score_gemma":0.7075914,"domain_scores_codex":[0.9992185,0.00006070526,0.00004282757,0.0001620532,0.0003390052,0.0001769343],"domain_scores_gemma":[0.9981787,0.0001218079,0.00009668885,0.0002667975,0.001151455,0.0001844471],"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":[0.00005791685,0.00002035472,0.003623252,0.0001566149,0.00002246904,0.00004833087,0.00004557857,0.0006657082,0.0001741655,0.0004210002,0.9917024,0.003062265],"study_design_scores_gemma":[0.0001200392,0.0000215377,0.02818609,0.0002913407,0.0000240459,0.00007749302,0.0004365277,0.002185373,0.0007181983,0.000934178,0.9669473,0.0000578915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001355372,0.00008501788,0.0001573356,0.0001030368,0.00005186646,0.00002040415,0.995829,0.0005398034,0.001858149],"genre_scores_gemma":[0.001878563,0.00004861125,0.0003386415,0.00002557032,0.000008177678,0.00003739138,0.9962093,0.00006173521,0.00139204],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5094577,"threshold_uncertainty_score":0.9868624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007444620401527822,"score_gpt":0.2261494815705326,"score_spread":0.2187048611690048,"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."}}