{"id":"W6969118937","doi":"10.5281/zenodo.6199615","title":"Cryptotendipes casuarius Townes","year":2010,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Government (linguistics); Fishing; Beaver; Mile","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":[0.00006222678,0.0005158116,0.0001756734,0.001095602,0.001286792,0.0003399722,0.0004333955,0.0002203677,0.009718654],"category_scores_gemma":[0.0001931364,0.0001263852,0.0001084652,0.0005581253,0.0005166021,0.000392593,0.0005730008,0.0003573721,0.00145906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009769817,"about_ca_system_score_gemma":0.0002837805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03897709,"about_ca_topic_score_gemma":0.1001626,"domain_scores_codex":[0.9999164,0.000003522999,0.000005929392,0.00003324728,0.00002553401,0.00001529948],"domain_scores_gemma":[0.9999356,0.000007289689,0.00002071769,0.00000507147,0.00001648905,0.00001484939],"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":[0.001036237,0.0002770007,0.2099761,0.001096407,0.00009641439,0.008721903,0.003325234,0.0007950214,0.08470501,0.0100021,0.03321333,0.6467552],"study_design_scores_gemma":[0.00006995181,0.0003635015,0.7122261,0.0002558298,0.00009768994,0.005741035,0.0024764,0.0005284787,0.005291651,0.0008217493,0.2720757,0.00005181806],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.74863,0.004444487,0.001483933,0.0003186918,0.0003791338,0.0002254094,0.001854465,0.0002914986,0.2423723],"genre_scores_gemma":[0.9735336,0.0009624841,0.001486244,0.0001247681,0.00004887321,0.00004805865,0.001163409,0.00001137314,0.02262121],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03897709,"threshold_uncertainty_score":0.0775004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590185412093839,"score_gpt":0.2169712190727116,"score_spread":0.2010693649517732,"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."}}