{"id":"W6907243641","doi":"10.21233/n3mm2k","title":"Pink Lake 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":"Natural Resources Canada","funders":"","keywords":"Pollen; Vegetation (pathology); Assemblage (archaeology); Table (database)","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":[0.0006688575,0.001560223,0.0009758808,0.002665155,0.0006727932,0.001334916,0.00201366,0.001211521,0.0271285],"category_scores_gemma":[0.003011158,0.0005234677,0.0009482864,0.003692034,0.0003278133,0.0009815533,0.001782659,0.001429171,0.03872121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008682375,"about_ca_system_score_gemma":0.00188279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02431441,"about_ca_topic_score_gemma":0.06706012,"domain_scores_codex":[0.9993363,0.00008879756,0.00006992184,0.0001837436,0.0002217585,0.00009950367],"domain_scores_gemma":[0.9990326,0.0001663602,0.00009311402,0.0001984083,0.0003662647,0.000143305],"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":[0.00006248659,0.00002547231,0.001740375,0.0003206093,0.00004612911,0.0000320825,0.00002971519,0.0004639464,0.0002144042,0.0002639494,0.993586,0.003214803],"study_design_scores_gemma":[0.0003850668,0.00002397122,0.018344,0.0001645504,0.00005468626,0.0000907272,0.0001197711,0.002355056,0.0006793967,0.0009903343,0.9767495,0.00004284154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009965557,0.00006769334,0.0001321237,0.00005857024,0.00003354178,0.00001735464,0.997326,0.000653454,0.00071478],"genre_scores_gemma":[0.0006998956,0.00002109055,0.000260176,0.00002040006,0.000005940007,0.00004266356,0.9984067,0.00007643172,0.0004667237],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0271285,"threshold_uncertainty_score":0.09075385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0534204583264859,"score_gpt":0.3535709180005279,"score_spread":0.300150459674042,"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."}}