{"id":"W6926139745","doi":"10.21233/n3p94v","title":"Site 26 (Mott unpublished) pollen surface sample dataset","year":2017,"lang":"en","type":"dataset","venue":"Neotoma Paleoecological Database","topic":"Smart Agriculture and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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007826911,0.00109593,0.001257961,0.00003797445,0.001325971,0.001051571,0.003497707,0.001273495,0.01803008],"category_scores_gemma":[0.001749248,0.0003862101,0.0004156201,0.0004062553,0.000382831,0.0007972736,0.002057095,0.001438344,0.006448648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008880922,"about_ca_system_score_gemma":0.00006527078,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003719666,"about_ca_topic_score_gemma":0.03699938,"domain_scores_codex":[0.9944323,0.0004288058,0.0008252308,0.001961771,0.0009504182,0.001401472],"domain_scores_gemma":[0.9950932,0.001888236,0.0007869292,0.001270209,0.0001758924,0.0007855874],"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":[0.0001044698,0.0005130001,0.002103356,0.00004709456,0.00006330742,0.0004852063,0.000002580052,0.00000104175,0.001058474,0.000005581985,0.9943745,0.00124142],"study_design_scores_gemma":[0.0003825029,0.0004814366,0.04171622,0.00007220657,0.0001661028,0.00005120186,0.00002665219,0.000004273597,0.00004152066,0.00004678313,0.9559359,0.001075181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03129102,0.0003265582,5.417656e-7,0.001639679,0.001059577,0.001016082,0.9642144,0.0002915298,0.000160559],"genre_scores_gemma":[0.0006030306,0.000641122,0.0002110746,0.002480684,0.002280812,0.00009952488,0.9933543,0.000005626454,0.0003237832],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03961287,"threshold_uncertainty_score":0.9999855,"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."}}