{"id":"W6926139745","doi":"10.21233/n3p94v","title":"Site 26 (Mott unpublished) pollen surface sample dataset","year":2017,"lang":"en","type":"dataset","venue":"Neotoma Paleoecological Database","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Pollen; Sample (material); Surface (topology); Raw data","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":[0.0009832124,0.001059884,0.0009448036,0.002716181,0.0004991543,0.001603551,0.001708278,0.001084145,0.0477365],"category_scores_gemma":[0.004436871,0.0005176022,0.0007587853,0.00538867,0.0003052302,0.0008042989,0.00123729,0.001269296,0.07127136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009716612,"about_ca_system_score_gemma":0.002364834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02309888,"about_ca_topic_score_gemma":0.04871408,"domain_scores_codex":[0.9992988,0.00008578027,0.00007797247,0.0001806167,0.0002650191,0.00009171496],"domain_scores_gemma":[0.997738,0.0004357324,0.0002425559,0.0005129057,0.0008601632,0.0002106976],"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":[0.00006169203,0.00001814884,0.001478954,0.000336877,0.00003134697,0.00002036004,0.00002519309,0.0002864548,0.000209826,0.0003834355,0.9949723,0.002175431],"study_design_scores_gemma":[0.000303797,0.00001615787,0.01112399,0.000140816,0.00002981337,0.00003702727,0.00008170676,0.0005044305,0.0005362956,0.0007648891,0.9864369,0.00002407998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001889685,0.00001465629,0.00005636318,0.00001518532,0.000007904476,0.000006410042,0.9990676,0.0001409743,0.0005020222],"genre_scores_gemma":[0.0004261902,0.00001282241,0.0002096164,0.00001309198,0.00000295379,0.00003662577,0.9986816,0.00007160741,0.0005454761],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0477365,"threshold_uncertainty_score":0.1596945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816435944357716,"score_gpt":0.2695232438418428,"score_spread":0.2413588843982657,"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."}}