{"id":"W6944888775","doi":"10.21233/n3km0h","title":"Lac Martyne pollen dataset","year":2017,"lang":"en","type":"dataset","venue":"Neotoma Paleoecological Database","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum","funders":"","keywords":"Pollen; Vegetation (pathology); Bee pollen; Taxonomy (biology)","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":[0.000732153,0.001861802,0.001105964,0.003049406,0.0007684903,0.001850469,0.002299795,0.001710858,0.02325497],"category_scores_gemma":[0.003452312,0.000407748,0.001228529,0.00411062,0.0003602495,0.0009883511,0.001565571,0.001734522,0.03861091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178378,"about_ca_system_score_gemma":0.001951767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02638616,"about_ca_topic_score_gemma":0.05653457,"domain_scores_codex":[0.999185,0.00009958562,0.00006877298,0.0002548256,0.0002728923,0.0001189403],"domain_scores_gemma":[0.998795,0.0002515047,0.0001109344,0.0003001832,0.0004015924,0.0001407258],"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":[0.00008453291,0.00003780373,0.001494639,0.0003583613,0.0000474397,0.00004885964,0.00002960866,0.0005906179,0.0003776036,0.000374699,0.9921193,0.004436431],"study_design_scores_gemma":[0.0002764355,0.00002642052,0.01081505,0.0001824585,0.00004160577,0.0001217611,0.0000979515,0.002031825,0.0007371614,0.0007931874,0.9848412,0.00003502501],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001186098,0.0001332472,0.0001408846,0.00007370279,0.00003583642,0.00001604388,0.9964993,0.0009504514,0.0009644051],"genre_scores_gemma":[0.0008431684,0.00003489979,0.0002922194,0.00002754912,0.000008041012,0.00003772542,0.9982302,0.00008135591,0.0004448845],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02638616,"threshold_uncertainty_score":0.07779557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05279827150362752,"score_gpt":0.3576545118462875,"score_spread":0.30485624034266,"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."}}