{"id":"W6926753270","doi":"10.25545/mnkr4e/wwp4pj","title":"tasmax.7z","year":2019,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos","funders":"","keywords":"Work (physics); Term (time); Product (mathematics)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005327417,0.0002707108,0.0003642221,0.0001727615,0.00009192694,0.0002627523,0.00147638,0.0002419848,0.05570573],"category_scores_gemma":[0.0001663657,0.0002295116,0.00008584801,0.0001567963,0.0001262924,0.0002778061,0.0009677983,0.0003588491,0.2949047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006446905,"about_ca_system_score_gemma":0.0002591052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008348157,"about_ca_topic_score_gemma":0.00008152788,"domain_scores_codex":[0.997777,0.00008620877,0.0002565806,0.0006291962,0.0006838811,0.0005671135],"domain_scores_gemma":[0.9976217,0.00009586989,0.0001332048,0.001912639,0.00006073027,0.0001758274],"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":[0.00001529963,0.00006415076,0.000002558208,0.0001497079,0.00001017253,0.00008865115,0.000003767656,0.000002984616,0.0009689219,0.00003462676,0.9985186,0.0001405391],"study_design_scores_gemma":[0.000260338,0.00005432862,0.000007148992,0.00006220411,0.00002927074,0.000007919106,0.00001935406,0.000009075784,0.0006755251,0.00001973901,0.9985676,0.0002874925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003628219,0.00002798877,0.000003524973,0.00002317057,0.001412441,0.0002664265,0.9972331,0.00003460055,0.0006359391],"genre_scores_gemma":[0.00001349083,0.0002762464,0.0001107689,0.0002193253,0.0003488227,0.00001326948,0.9968041,0.00002235746,0.002191615],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.239199,"threshold_uncertainty_score":0.9451575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03286407195803315,"score_gpt":0.3065223638789174,"score_spread":0.2736582919208843,"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."}}