{"id":"W6890381319","doi":"10.34943/c4159d63-870f-483c-960e-619445a91941","title":"Juan de Fuca Strait Conductivity Temperature Depth Deployed 2018-03-27","year":2018,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conductivity; Temperature measurement; Submarine; Pacific ocean; Sea surface temperature; Software deployment; Pressure sensor","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"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001379683,0.001969892,0.001703195,0.00007908884,0.001125383,0.0004733939,0.00226193,0.002849264,0.0003577804],"category_scores_gemma":[0.0001484251,0.002039447,0.0009547977,0.001253149,0.0009741877,0.0003824228,0.0004939171,0.005084051,0.00004051601],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005258398,"about_ca_system_score_gemma":0.01138323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6286878,"about_ca_topic_score_gemma":0.9723961,"domain_scores_codex":[0.9912204,0.0006752062,0.0009940224,0.00210962,0.001901146,0.003099611],"domain_scores_gemma":[0.9938552,0.0003615174,0.001046604,0.002778449,0.0004604088,0.001497856],"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":[0.00006028904,0.0001384061,0.0002474737,0.0002158575,0.001201897,0.0001537894,0.00005820362,0.00136396,0.00003449543,0.00000419803,0.9964935,0.00002798159],"study_design_scores_gemma":[0.0009697726,0.00009898136,0.000637272,0.0002607281,0.0007564039,0.0001172199,0.000246913,0.0007705999,0.00002689171,0.0000226164,0.9940309,0.002061694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003335138,0.001228907,0.00001081181,0.0002190324,0.004255761,0.001005478,0.9895307,0.00037082,0.00004336801],"genre_scores_gemma":[0.005253166,0.0005130662,0.0004228649,0.003687378,0.006569326,0.00002480221,0.9821944,0.0006318823,0.0007031708],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3437083,"threshold_uncertainty_score":0.9993044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118694107567586,"score_gpt":0.2290379909456937,"score_spread":0.2178510498700178,"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."}}