{"id":"W7125585802","doi":"10.34943/e7a839e5-e1ad-4a8f-a77b-dc2f844c5cb5","title":"Mantis Oxygen Sensor Deployed 2024-10-04","year":2024,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oxygen; Measure (data warehouse); Oxygen sensor; Software deployment; Mantis; Mobile device","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":[0.0006377706,0.001867676,0.0009497558,0.00181012,0.0007720782,0.001082423,0.002541643,0.001379158,0.01443902],"category_scores_gemma":[0.002243425,0.0004091251,0.0006389113,0.003307032,0.0003956693,0.001079221,0.00113033,0.001236742,0.03282624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664337,"about_ca_system_score_gemma":0.002490309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1393261,"about_ca_topic_score_gemma":0.2351366,"domain_scores_codex":[0.9992774,0.00007423845,0.0000554946,0.0001955908,0.0002696425,0.0001275701],"domain_scores_gemma":[0.9991689,0.00007498101,0.00005418405,0.0001945423,0.0004015253,0.0001059016],"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":[0.00006079582,0.00002752676,0.001156868,0.0001583669,0.00001643733,0.00003024291,0.00001598952,0.0006040442,0.0002231303,0.0002884171,0.9946492,0.002768947],"study_design_scores_gemma":[0.0001916358,0.0000385813,0.01103645,0.0001635503,0.00002660314,0.00009719357,0.0001674607,0.002772854,0.0009771361,0.001210745,0.9832708,0.00004686193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008418501,0.00006585762,0.000134001,0.0001207388,0.00005481728,0.00002247996,0.9963772,0.0006822023,0.001700817],"genre_scores_gemma":[0.0009181162,0.0000258771,0.0002627023,0.00003585759,0.000006861054,0.00003284495,0.9978955,0.00003711945,0.0007851776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8606739,"threshold_uncertainty_score":0.2770302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007469699640544118,"score_gpt":0.2147846464946337,"score_spread":0.2073149468540895,"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."}}