{"id":"W6965440083","doi":"10.34930/17746b32-2a1e-448e-97c6-6b5032713f05","title":"JULIO - TIMESERIE #2 : Etude long terme de la variabilité du Courant Nord","year":2019,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Continental shelf; Submarine pipeline; Context (archaeology); Current (fluid); Bay; Hydrography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006659708,0.001824542,0.001527524,0.004173788,0.0008118037,0.004519374,0.001046892,0.001377508,0.006546447],"category_scores_gemma":[0.008240866,0.0005296438,0.002116299,0.00299717,0.0008808094,0.001644645,0.002092826,0.002899342,0.001999181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002997492,"about_ca_system_score_gemma":0.002357194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1008671,"about_ca_topic_score_gemma":0.04407534,"domain_scores_codex":[0.9971548,0.0006952924,0.0001453519,0.0008945054,0.0007862221,0.0003238159],"domain_scores_gemma":[0.9932401,0.003766107,0.001088195,0.000488984,0.0006711134,0.0007454345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002295872,0.0006048451,0.5739449,0.001018467,0.00361627,0.002476916,0.002287658,0.1257186,0.008750557,0.03068997,0.03349263,0.2151033],"study_design_scores_gemma":[0.0002568163,0.000235946,0.8217908,0.0003128126,0.0001550037,0.0009580326,0.0005165212,0.1003632,0.002615504,0.002624182,0.06995995,0.0002113468],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.829531,0.005667352,0.07172083,0.00157003,0.0005961124,0.0002379636,0.07220057,0.00172122,0.01675493],"genre_scores_gemma":[0.8501882,0.003901323,0.05508751,0.0001588622,0.001048688,0.001612843,0.06359637,0.001475391,0.02293077],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1008671,"threshold_uncertainty_score":0.2005599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00947988833714721,"score_gpt":0.2701876685048334,"score_spread":0.2607077801676863,"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."}}