{"id":"W6931244312","doi":"10.5281/zenodo.5997716","title":"Calycomyza promissa Frick","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ex parte; Ex vivo; Ex situ conservation; Bin","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001144834,0.0005973009,0.0002791526,0.001028342,0.00164318,0.000423853,0.00039592,0.0006068532,0.01370346],"category_scores_gemma":[0.0003938479,0.0001507774,0.0001326969,0.0007447883,0.0004602929,0.0009085039,0.0008070109,0.0005398389,0.003472033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008015346,"about_ca_system_score_gemma":0.0005274776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01249214,"about_ca_topic_score_gemma":0.02548108,"domain_scores_codex":[0.9998926,0.00000949382,0.000007522831,0.00004206908,0.00003226121,0.00001599414],"domain_scores_gemma":[0.9999001,0.00001872717,0.00002806088,0.00001341208,0.00002118084,0.00001854636],"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":[0.000819664,0.0001746621,0.02098075,0.002039253,0.00007932808,0.01470567,0.00325782,0.002761347,0.2497396,0.02052444,0.05050687,0.6344106],"study_design_scores_gemma":[0.000155684,0.0003891861,0.2093773,0.001053772,0.0001114505,0.01264565,0.002998109,0.00174094,0.01412835,0.003960273,0.7533696,0.00006963131],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5187383,0.01445709,0.003664833,0.002087174,0.0004588363,0.0003350355,0.003550822,0.0005609414,0.4561469],"genre_scores_gemma":[0.9184012,0.003268227,0.003617859,0.0009093116,0.0001045055,0.0001133313,0.001481865,0.0000367744,0.07206697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01370346,"threshold_uncertainty_score":0.04584265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02923659937016977,"score_gpt":0.2144910337610134,"score_spread":0.1852544343908437,"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."}}