{"id":"W6950242753","doi":"10.5281/zenodo.4651388","title":"Lynx D2.8 Final Report of Data Management Activities","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canarie","funders":"European Commission","keywords":"Deliverable; Data management; Plan (archaeology); Data management plan; Work (physics); Information management","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":[0.02385494,0.002326231,0.001524773,0.005735226,0.00227276,0.01206941,0.004017062,0.001930582,0.1902454],"category_scores_gemma":[0.02894843,0.002022407,0.001566827,0.00377858,0.0008860632,0.007131604,0.007793247,0.003439336,0.2883646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004004534,"about_ca_system_score_gemma":0.01246336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02594056,"about_ca_topic_score_gemma":0.01123824,"domain_scores_codex":[0.9842879,0.002623334,0.00122754,0.001788922,0.009035067,0.0010373],"domain_scores_gemma":[0.9707205,0.002873124,0.001019778,0.006462813,0.0168115,0.002112297],"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":[0.0003476144,0.00009520448,0.0006587152,0.0005493682,0.00003174716,0.0001048745,0.0004339366,0.0004586706,0.003008682,0.006240773,0.9217247,0.06634571],"study_design_scores_gemma":[0.00007408747,0.0000790897,0.0009961405,0.0001878129,0.00001695497,0.00004410018,0.000154553,0.0004172441,0.003162413,0.001470868,0.9933535,0.00004328521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005465975,0.001219905,0.09844222,0.005749566,0.003274908,0.005021039,0.5560149,0.09956156,0.2252499],"genre_scores_gemma":[0.005375612,0.0006583847,0.05870565,0.000862299,0.0004320008,0.003457365,0.7205854,0.03324795,0.1766753],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1902454,"threshold_uncertainty_score":0.6364344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0804142894735913,"score_gpt":0.2536929977170886,"score_spread":0.1732787082434973,"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."}}