{"id":"W6924841554","doi":"10.1594/pangaea.974731","title":"Grain size composition of marine surface sediments of the Canadian Arctic","year":2025,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Cocoa and Sweet Potato Agronomy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Bay; Grain size; Sediment; Beaufort sea; Coast guard; The arctic; Permafrost","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":[0.0009011767,0.001317912,0.0009890901,0.006766027,0.002181135,0.001879213,0.001821953,0.0006050598,0.004763141],"category_scores_gemma":[0.002308343,0.0004515804,0.0008589539,0.01760135,0.0004802503,0.0003713562,0.001186043,0.0005923784,0.003011046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01134328,"about_ca_system_score_gemma":0.01423614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.969138,"about_ca_topic_score_gemma":0.9788197,"domain_scores_codex":[0.9990607,0.00003095535,0.00007075298,0.000246685,0.000328124,0.0002628193],"domain_scores_gemma":[0.9973111,0.0001139955,0.0002405002,0.0002111555,0.00189857,0.000224653],"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":[0.000799852,0.00009683778,0.3797773,0.002768605,0.0008870293,0.0003763796,0.001178507,0.003059698,0.003274698,0.001644892,0.5626434,0.04349278],"study_design_scores_gemma":[0.00007134773,0.00001180561,0.7665043,0.0003160591,0.0001178766,0.00007973386,0.0005721462,0.0005842632,0.0007217698,0.0001658191,0.230792,0.00006293173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01617291,0.0003405537,0.00005666154,0.00004769619,0.000009852056,0.0000180697,0.9818335,0.00008616418,0.001434525],"genre_scores_gemma":[0.02400164,0.0003448401,0.0004187225,0.00003299897,0.000005615566,0.00007456054,0.9740791,0.00003810665,0.001004368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03086197,"threshold_uncertainty_score":0.08230156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184810715220465,"score_gpt":0.2469707315292872,"score_spread":0.2284896600072407,"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."}}