{"id":"W6927537489","doi":"10.34943/4d874837-c25a-467a-94d2-f513ebe1b17c","title":"Horseshoe Bay - Departure Bay Ferry Route Temperature Sensor Deployed 2024-06-16","year":2024,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Horseshoe (symbol); Estuary; Bay mud; Software deployment; Horseshoe crab","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":[0.0006258058,0.001480576,0.0008314264,0.001343618,0.0006595769,0.0009676149,0.002106493,0.001408948,0.01578526],"category_scores_gemma":[0.001998669,0.0003333843,0.0005651666,0.00233246,0.0003537327,0.0008369648,0.00107154,0.001088799,0.03345928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001439938,"about_ca_system_score_gemma":0.002032272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08208383,"about_ca_topic_score_gemma":0.1662918,"domain_scores_codex":[0.9994874,0.00006666674,0.00004428494,0.0001447314,0.000160255,0.00009655228],"domain_scores_gemma":[0.9991958,0.0000884931,0.00006174456,0.0001886645,0.0003585418,0.0001068435],"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":[0.0001044093,0.00003437299,0.00233993,0.000315892,0.00002204328,0.00005127933,0.00002844869,0.0008064334,0.0004072869,0.0003591436,0.991829,0.003701827],"study_design_scores_gemma":[0.0001783552,0.00003803443,0.01538108,0.0002155469,0.00002474574,0.0001045041,0.000185685,0.001970304,0.001191876,0.001132494,0.9795352,0.00004229239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007433506,0.00007192577,0.0001570904,0.0001112225,0.00004151779,0.00001616841,0.9968495,0.0004914485,0.001517766],"genre_scores_gemma":[0.001060188,0.00003611529,0.000309707,0.00003478663,0.000005803475,0.0000288749,0.9976547,0.00003454654,0.0008353231],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08208383,"threshold_uncertainty_score":0.1632121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005871343552211788,"score_gpt":0.2121026571570381,"score_spread":0.2062313136048263,"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."}}