{"id":"W6958737835","doi":"10.7284/138214","title":"CTD (Conductivity, Temperature, Depth) data collected during research cruise RC0018 using a Sea-Bird SBE-CTD instrument system onboard the platform RV Rachel Carson","year":2020,"lang":"en","type":"dataset","venue":"Rolling Deck to Repository","topic":"Pasture and Agricultural Systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"CTD; Cruise; Nova scotia; Global Positioning System","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":[0.0009103626,0.002388135,0.001170483,0.002777694,0.0005045095,0.001151669,0.002124678,0.001956472,0.02122683],"category_scores_gemma":[0.002602378,0.0006243406,0.001205409,0.004327728,0.0004506915,0.0008606932,0.001192646,0.001237124,0.04442379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101128,"about_ca_system_score_gemma":0.001861324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05449037,"about_ca_topic_score_gemma":0.08432639,"domain_scores_codex":[0.9994022,0.00006264699,0.0000660201,0.0001913148,0.0001773427,0.0001004717],"domain_scores_gemma":[0.9986174,0.0002380891,0.0001621945,0.0003410433,0.0004757643,0.0001654475],"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":[0.0001698726,0.00006755575,0.004447201,0.0008775999,0.00008543106,0.00006106641,0.00004355791,0.001718736,0.0005649959,0.0002808541,0.9872445,0.004438585],"study_design_scores_gemma":[0.0006105481,0.00007788475,0.0425928,0.0005258457,0.0001015615,0.0001381784,0.0002113536,0.002626423,0.00153454,0.001476416,0.9499892,0.0001153194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003995408,0.00002721543,0.00005092426,0.00002225395,0.00001344588,0.000005737919,0.9990314,0.0002134539,0.0002359342],"genre_scores_gemma":[0.0006230031,0.00002585082,0.0002137486,0.00001747927,0.000003752185,0.00002785077,0.9987453,0.00003243607,0.0003105442],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05449037,"threshold_uncertainty_score":0.1083464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1698253956527555,"score_gpt":0.3126447651045399,"score_spread":0.1428193694517845,"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."}}