{"id":"W6890354341","doi":"10.34930/9263c4df-4f55-4c5a-b183-c40ee1d844b1","title":"HF RADAR - French Riviera (Mediterranean Institute of Oceanography) - daily surface currents filled with DINEOF","year":2017,"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":"Pixel; Bistatic radar; Radar; Radial velocity; Grid; Regular grid; Image resolution; Radar imaging; Outlier","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":[0.0007987139,0.0008060879,0.0006053702,0.001831344,0.00035151,0.001076318,0.0006785709,0.0004584045,0.0180838],"category_scores_gemma":[0.001631071,0.0002305201,0.0006983039,0.001530521,0.0001230766,0.0006363252,0.0006005779,0.0005062415,0.008501345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005851723,"about_ca_system_score_gemma":0.00109192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03866097,"about_ca_topic_score_gemma":0.03862399,"domain_scores_codex":[0.9996464,0.00003596198,0.00002887293,0.00009452472,0.0001328919,0.00006134977],"domain_scores_gemma":[0.9993379,0.00004500357,0.0000609977,0.0001086071,0.0004011685,0.00004639275],"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":[0.0007300522,0.0002054594,0.07801838,0.0007257801,0.0004130739,0.0004233755,0.0003810254,0.02285709,0.01607845,0.003676612,0.4557856,0.4207051],"study_design_scores_gemma":[0.0006403084,0.000193435,0.2802316,0.000288198,0.0001268466,0.0004865673,0.000464183,0.1160213,0.01607656,0.002139619,0.583156,0.000175462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1632984,0.001710863,0.1389155,0.0007636969,0.001231189,0.0007856432,0.5994616,0.05135579,0.04247738],"genre_scores_gemma":[0.1661552,0.0005773835,0.1576038,0.0002269965,0.0003070054,0.0005384591,0.6545746,0.002767447,0.01724901],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03866097,"threshold_uncertainty_score":0.07687187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305950979760634,"score_gpt":0.2805964545560007,"score_spread":0.2575369447583943,"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."}}