{"id":"W6926272728","doi":"10.21233/218z-yn28","title":"Site 31, Georgian Bay, Canadian Hydrographic Service pollen surface sample dataset","year":2019,"lang":"en","type":"dataset","venue":"Neotoma Paleoecological Database","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrography; Pollen; Georgian; Sample (material); Service (business)","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":[0.0007087231,0.001349044,0.0008884689,0.004040667,0.001341563,0.001683283,0.002448036,0.001070269,0.02702155],"category_scores_gemma":[0.00515087,0.0005861793,0.0007629065,0.01105325,0.0004421616,0.0005710552,0.00108916,0.001400761,0.02593569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007427975,"about_ca_system_score_gemma":0.01851958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8846955,"about_ca_topic_score_gemma":0.9455398,"domain_scores_codex":[0.9992014,0.00004655704,0.00006725474,0.0001780999,0.000350382,0.00015622],"domain_scores_gemma":[0.9965135,0.0002713179,0.0001935149,0.0003458765,0.002335083,0.0003406241],"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":[0.00003345284,0.00001061286,0.002108228,0.0001624492,0.00002199187,0.000017597,0.0000195895,0.0002944649,0.00006270985,0.0002754102,0.9956782,0.001315283],"study_design_scores_gemma":[0.0002401507,0.000009892607,0.04843691,0.0002764497,0.00004645581,0.00004676055,0.0001888966,0.001149247,0.0004083616,0.0007241514,0.9484201,0.00005255755],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001474103,0.00002082355,0.00001912318,0.00002216974,0.000005493726,0.000005762463,0.9993207,0.00007091848,0.0003874256],"genre_scores_gemma":[0.0004621521,0.00002677545,0.0001350703,0.00001929919,0.000002206248,0.00002108887,0.998752,0.00002455695,0.0005569182],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1153045,"threshold_uncertainty_score":0.2319671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03314748601294594,"score_gpt":0.2896120739771524,"score_spread":0.2564645879642065,"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."}}