{"id":"W6888743424","doi":"10.21966/35tn-w772","title":"Northwest Calvert Substrate Mapping","year":2020,"lang":"en","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bathymetry; Substrate (aquarium); Seafloor spreading; High resolution; Backscatter (email); Resolution (logic)","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":[0.0003694856,0.001113264,0.0006558311,0.00206803,0.0007572168,0.001158176,0.001749952,0.0007714248,0.01993929],"category_scores_gemma":[0.001217103,0.0002911229,0.0004065262,0.003800504,0.0002104004,0.0006480764,0.0008121047,0.0006779892,0.02401228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579449,"about_ca_system_score_gemma":0.002218862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3164448,"about_ca_topic_score_gemma":0.5871283,"domain_scores_codex":[0.9995601,0.00003341401,0.00002382591,0.0001575035,0.0001413903,0.00008379175],"domain_scores_gemma":[0.9989309,0.00005603664,0.00005230781,0.0002119572,0.0006369067,0.0001120182],"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":[0.00005807551,0.00004177378,0.008696537,0.0001796722,0.00002566466,0.0000663864,0.0000697772,0.0006056313,0.0004015616,0.0004471531,0.9791749,0.01023288],"study_design_scores_gemma":[0.00005540362,0.00001165682,0.0364045,0.0002196656,0.00001724852,0.00007786831,0.0003202096,0.002172681,0.0009133804,0.0004541665,0.9593225,0.00003082726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002486008,0.0001130461,0.0001515322,0.00004726553,0.00002793817,0.00001975351,0.9934289,0.00039041,0.003335054],"genre_scores_gemma":[0.001732822,0.00004292044,0.0005229208,0.00001628563,0.000003238629,0.00002158204,0.9963574,0.00004358519,0.00125916],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6835552,"threshold_uncertainty_score":0.6292058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04911071536286817,"score_gpt":0.2663971365188829,"score_spread":0.2172864211560147,"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."}}