{"id":"W6946577261","doi":"10.34943/65f7ae4c-b976-41d3-b647-2d7ed934e2b9","title":"Horseshoe Bay - Departure Bay Ferry Route Campbell Scientific Datalogger Deployed 2024-09-03","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; Horseshoe (symbol); Data logger; Horseshoe crab; Software deployment","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":[0.001001665,0.001495652,0.0008038043,0.002892348,0.001424988,0.002116534,0.00241378,0.001149008,0.03498275],"category_scores_gemma":[0.005129522,0.000494279,0.0004904143,0.005481684,0.0005013941,0.001234905,0.001486453,0.001500228,0.05543414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005167944,"about_ca_system_score_gemma":0.009808937,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6266518,"about_ca_topic_score_gemma":0.730258,"domain_scores_codex":[0.9988322,0.00009146988,0.00007340522,0.0002358548,0.0005081338,0.0002589404],"domain_scores_gemma":[0.9965001,0.0002207625,0.0001495835,0.0005636282,0.002144982,0.000420932],"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":[0.00003244203,0.000009676227,0.0007560624,0.00006773361,0.000005866902,0.00001499957,0.00002307911,0.0002168902,0.00008031147,0.0003610195,0.9968178,0.001614113],"study_design_scores_gemma":[0.00005977007,0.000007937289,0.005522478,0.0001069267,0.000007137891,0.00001990988,0.0001566166,0.0007018468,0.000410686,0.000512348,0.9924695,0.00002488628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002683963,0.00001930764,0.00008804494,0.00007025891,0.00002294635,0.0000165871,0.9970181,0.0004497852,0.00204646],"genre_scores_gemma":[0.000683938,0.00001645648,0.0003041345,0.00001912139,0.000003650533,0.00003561875,0.9972651,0.00007414451,0.001597813],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6266518,"threshold_uncertainty_score":0.7510938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009329665894395836,"score_gpt":0.2246207446635965,"score_spread":0.2152910787692007,"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."}}