{"id":"W2517384481","doi":"10.3897/rio.2.e10269","title":"Migration of legacy data to new media formats for long-time storage and maximum visibility: Modern pollen data from the Canadian Arctic (1972/1973)","year":2016,"lang":"en","type":"article","venue":"Research Ideas and Outcomes","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Upload; Pollen; Visibility; Climate change; Environmental resource management; Physical geography; Computer science; Environmental science; Geography; Ecology; Meteorology; Oceanography; World Wide Web; Geology","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.004404721,0.0006450145,0.0004369544,0.007712839,0.004441067,0.004763157,0.00221019,0.0006327472,0.01144749],"category_scores_gemma":[0.009783146,0.0006472789,0.0006575728,0.01383958,0.001056176,0.002611957,0.00268893,0.001524279,0.005070978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01403368,"about_ca_system_score_gemma":0.03754555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8814675,"about_ca_topic_score_gemma":0.8884193,"domain_scores_codex":[0.9970315,0.0001400072,0.0002286059,0.0004234809,0.001761678,0.0004148616],"domain_scores_gemma":[0.9869915,0.0007400286,0.0005846715,0.002914662,0.007752024,0.00101709],"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":[0.000376776,0.0001784333,0.040157,0.000355762,0.00006467036,0.0002306589,0.002846456,0.002954537,0.004412089,0.009250131,0.7603323,0.1788412],"study_design_scores_gemma":[0.000101399,0.00002799221,0.09841028,0.0002698581,0.00004259067,0.00007695226,0.002142206,0.003555226,0.008152674,0.002143002,0.8849418,0.0001360386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.05069245,0.0002586202,0.02000744,0.003969504,0.000460395,0.001417054,0.8508213,0.01107004,0.06130325],"genre_scores_gemma":[0.08320933,0.0005494332,0.09212873,0.000616404,0.0001271382,0.001671635,0.7932559,0.004667962,0.02377349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9977898,"threshold_uncertainty_score":0.238461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1602739618294127,"score_gpt":0.3615643973480953,"score_spread":0.2012904355186826,"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."}}