{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001560814,0.0007045561,0.001084265,0.00003904393,0.0008798299,0.000141792,0.0012504,0.0006344259,0.008602307],"category_scores_gemma":[0.00111085,0.0006905589,0.0005136027,0.0005695121,0.0002929972,0.00004514161,0.0007070482,0.003351577,0.000004978544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00224503,"about_ca_system_score_gemma":0.003207297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4809806,"about_ca_topic_score_gemma":0.7622201,"domain_scores_codex":[0.9939005,0.0005257335,0.0008688606,0.001009162,0.002128424,0.001567271],"domain_scores_gemma":[0.9940899,0.003150518,0.0003246101,0.001442423,0.000211669,0.0007808929],"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":[0.00005548359,0.0001233746,0.000007577422,0.0006401152,0.0004602024,0.000365304,0.00005543251,0.0002631372,4.194794e-7,0.0005073583,0.9968871,0.0006344476],"study_design_scores_gemma":[0.0005389597,0.00008019809,0.00002702436,0.00004409511,0.0002475521,0.000030129,0.0003277711,0.006776276,6.18662e-7,0.002152043,0.9890371,0.0007382291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001100548,0.000616833,0.0005875324,0.0004857299,0.0008256347,0.001011008,0.9961708,0.00009282318,0.00009963127],"genre_scores_gemma":[0.000128534,0.0009299941,0.001338786,0.001855056,0.0005504804,0.00006754263,0.9924467,0.0001386891,0.00254428],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2812396,"threshold_uncertainty_score":0.9995546,"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."}}