{"id":"W6928006173","doi":"10.34943/380503dd-1831-4a80-861a-6e22acf2725f","title":"Main Endeavour Field Bottom Pressure Recorder Deployed 2014-05-18","year":2014,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Field (mathematics); Ocean bottom; Hydrothermal vent; Pressure sensor; Data logger","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":[0.0008734763,0.00147986,0.0009536612,0.00302044,0.0009938986,0.001484764,0.002594786,0.001149487,0.01903945],"category_scores_gemma":[0.00355688,0.0004898872,0.0005945074,0.005096756,0.0004719882,0.0009094987,0.001388138,0.001251382,0.02748613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003573824,"about_ca_system_score_gemma":0.006248056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4714475,"about_ca_topic_score_gemma":0.6808226,"domain_scores_codex":[0.9991084,0.00007398984,0.0000676267,0.0002174803,0.0003571667,0.0001753514],"domain_scores_gemma":[0.9978037,0.0001511448,0.0001361725,0.0003568545,0.001307829,0.0002442756],"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":[0.00005430407,0.00002024633,0.002119164,0.0001316876,0.00001977432,0.0000262326,0.00002348823,0.0003471372,0.0001204878,0.0003170044,0.9947382,0.002082242],"study_design_scores_gemma":[0.0001640218,0.00001930829,0.02286043,0.0002292022,0.00002755138,0.00006078777,0.0002083706,0.001225415,0.0006096226,0.0008209783,0.9737141,0.00006031846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005026462,0.00003489193,0.0000864645,0.00006930946,0.00002111454,0.00001526474,0.9979261,0.0002766172,0.001067621],"genre_scores_gemma":[0.0006838107,0.00002176142,0.0002235966,0.00002012897,0.000004883007,0.00003131108,0.9979827,0.0000352966,0.0009965389],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4714475,"threshold_uncertainty_score":0.9374068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007312816697956057,"score_gpt":0.217327283647854,"score_spread":0.210014466949898,"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."}}