{"id":"W6965330439","doi":"10.34943/a0c2547a-7f5e-4a47-a568-44d2e7179c54","title":"Cascadia Seaweed Cormorant Farm Conductivity Temperature Depth Deployed 2022-03-07","year":2022,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cormorant; Turbidity; Conductivity; Air temperature; Software deployment; Temperature measurement; Atmospheric pressure","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005827739,0.001586736,0.0007265197,0.00215449,0.0008244598,0.00117428,0.001932924,0.001172624,0.01593151],"category_scores_gemma":[0.002373833,0.0003805883,0.0005013814,0.004116697,0.0003318938,0.0007582609,0.001004336,0.00110445,0.02405772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00243548,"about_ca_system_score_gemma":0.002839806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2565344,"about_ca_topic_score_gemma":0.3822647,"domain_scores_codex":[0.9992915,0.00006341454,0.00004694491,0.0001998795,0.0002625536,0.0001356419],"domain_scores_gemma":[0.998508,0.0001400865,0.0001010198,0.0003190551,0.0007454919,0.0001862042],"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":[0.00006121417,0.00002144639,0.002489535,0.0002023495,0.00002026754,0.00004743374,0.00003555586,0.0007818366,0.0002891279,0.0003502467,0.993449,0.002252053],"study_design_scores_gemma":[0.0001519018,0.00002401145,0.02317924,0.0001800143,0.00002255555,0.00006773389,0.0002979604,0.002553193,0.0008559338,0.0008670236,0.971751,0.00004951894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006575878,0.00003071215,0.00008002515,0.00007041347,0.00002232902,0.000009487506,0.9975795,0.0004267473,0.001123187],"genre_scores_gemma":[0.001168603,0.00001865715,0.0002064155,0.00002050526,0.000003252042,0.00002639343,0.9978406,0.00004317138,0.0006723457],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9840685,"threshold_uncertainty_score":0.5100824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007324911729933198,"score_gpt":0.184353836945903,"score_spread":0.1770289252159699,"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."}}