{"id":"W6893714287","doi":"10.5281/zenodo.3867529","title":"Megaphyllum karschi","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Distribution (mathematics); Natural (archaeology); Work (physics); Habitat","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":[0.00005766204,0.0004079585,0.0001790075,0.001173349,0.000663031,0.0002453304,0.0003829819,0.0003127693,0.02095617],"category_scores_gemma":[0.0002253992,0.0001642694,0.0001526986,0.0007370826,0.0002405243,0.000604017,0.0007685031,0.0002739227,0.008237714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003260346,"about_ca_system_score_gemma":0.0003113482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007005789,"about_ca_topic_score_gemma":0.01202553,"domain_scores_codex":[0.9999114,0.000006593067,0.000007722247,0.00002593586,0.0000243902,0.00002379366],"domain_scores_gemma":[0.9999108,0.00001257363,0.0000363307,0.000008048645,0.00001954707,0.00001266831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003936295,0.00008445386,0.03998296,0.001194366,0.00008567001,0.0009303366,0.0009102257,0.0005573726,0.1395577,0.004798149,0.01844751,0.7930576],"study_design_scores_gemma":[0.00005453615,0.0002361815,0.4306737,0.0002760336,0.00009388879,0.003917101,0.0008156877,0.0005000937,0.01058682,0.001464686,0.5513441,0.00003713612],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4029044,0.03557587,0.01021928,0.0008400845,0.0004143071,0.0005391821,0.01477575,0.001382896,0.5333483],"genre_scores_gemma":[0.8947119,0.00984023,0.009414104,0.0007459502,0.0001694687,0.0002858696,0.01686106,0.00008813102,0.06788325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02095617,"threshold_uncertainty_score":0.07010531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04136850636981236,"score_gpt":0.2757727004953647,"score_spread":0.2344041941255524,"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."}}