{"id":"W6947028628","doi":"10.34943/7fb8e7f1-4447-4492-a08d-a15eec3cb034","title":"Burrard Inlet Oxygen Sensor Deployed 2020-10-22","year":2020,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inlet; Optode; Fjord; Measure (data warehouse); Oxygen sensor; Oxygen","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":[0.0008229766,0.001353161,0.0007992115,0.001478369,0.0007592631,0.001149033,0.002607009,0.001104001,0.01333626],"category_scores_gemma":[0.001946999,0.0003923164,0.000522189,0.00250142,0.000406378,0.0007866642,0.00110244,0.001211699,0.02543126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718949,"about_ca_system_score_gemma":0.002286213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1163954,"about_ca_topic_score_gemma":0.2386385,"domain_scores_codex":[0.9994741,0.00005972766,0.00003565359,0.0001772224,0.000159227,0.00009419143],"domain_scores_gemma":[0.9991485,0.00009029153,0.00005926683,0.0002350648,0.0003396438,0.000127159],"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":[0.0001025159,0.00003951821,0.002058785,0.0003385597,0.00002799568,0.00004272962,0.00004030156,0.0008205656,0.00054245,0.0007183571,0.9915126,0.003755586],"study_design_scores_gemma":[0.0001380408,0.00002517914,0.0115073,0.0001743911,0.00002485425,0.00006920472,0.000154508,0.002074775,0.00133984,0.001183537,0.9832731,0.00003529498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008130972,0.00005816199,0.0001802894,0.00006944966,0.00002347229,0.00001774751,0.9966391,0.0007056716,0.001493074],"genre_scores_gemma":[0.0009810937,0.00002426543,0.0004628612,0.00002685933,0.000002680923,0.00003209978,0.9977265,0.00005156664,0.0006920255],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1163954,"threshold_uncertainty_score":0.2314358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004277909600920585,"score_gpt":0.2101969507436632,"score_spread":0.2059190411427426,"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."}}