{"id":"W6908991881","doi":"10.34943/a486a517-9650-4f41-9cbe-dc40291398e2","title":"Cascadia Seaweed Cormorant Farm Oxygen Sensor Deployed 2022-03-07","year":2022,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Probability and Statistical Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cormorant; Oxygen; Software deployment; Algae; Measure (data warehouse); Agriculture","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":[0.0006320884,0.001650403,0.000765947,0.001422392,0.0006555872,0.0009659275,0.002550882,0.001157395,0.01284785],"category_scores_gemma":[0.001869958,0.000336723,0.0005863128,0.002503686,0.000338659,0.0007447149,0.0009761931,0.001038005,0.02265818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582727,"about_ca_system_score_gemma":0.00171432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08639894,"about_ca_topic_score_gemma":0.1790411,"domain_scores_codex":[0.9994971,0.00005271219,0.00003837897,0.000161993,0.000167809,0.00008214709],"domain_scores_gemma":[0.9990816,0.0000987001,0.000059062,0.0002524786,0.0003850335,0.000123038],"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":[0.00008998319,0.00003927549,0.001809827,0.0002516292,0.00002444412,0.00004922845,0.00002640863,0.00103611,0.0003952625,0.0004017551,0.9932905,0.002585578],"study_design_scores_gemma":[0.0003017065,0.000044587,0.01863766,0.0001536789,0.00002853399,0.0001111736,0.0001716874,0.004365611,0.001339632,0.00158632,0.9732088,0.00005054403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001071403,0.00004930929,0.0001835127,0.00009878221,0.00003279204,0.00001902787,0.9963108,0.0008586781,0.001375671],"genre_scores_gemma":[0.001187021,0.0000201035,0.0003078289,0.00002427423,0.000003736456,0.00003059247,0.9977669,0.00004416631,0.0006154444],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.913601,"threshold_uncertainty_score":0.1717921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03259322722641832,"score_gpt":0.2891831733523009,"score_spread":0.2565899461258826,"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."}}