{"id":"W6950086341","doi":"10.5281/zenodo.5668432","title":"Lucascinus coralicola Rathbun 1909, n. comb.","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carapace; Rostrum; Apex (geometry); Fishing; Margin (machine learning)","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":[0.0001517978,0.001306137,0.0005849662,0.003136101,0.001856601,0.000408793,0.0006265849,0.0005370892,0.02644261],"category_scores_gemma":[0.0006723147,0.0004642022,0.0002069765,0.001480138,0.0007453926,0.001536614,0.001399476,0.0008658564,0.009860614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267505,"about_ca_system_score_gemma":0.000741419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02769156,"about_ca_topic_score_gemma":0.06663193,"domain_scores_codex":[0.9997963,0.0000198621,0.00001838516,0.00006798927,0.00007303442,0.00002443278],"domain_scores_gemma":[0.9997118,0.00004689712,0.0001119627,0.00002010644,0.00007221408,0.00003706034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004304864,0.000126369,0.02292706,0.00116328,0.00006986864,0.001604117,0.001770376,0.001048223,0.01446256,0.004489062,0.06221462,0.889694],"study_design_scores_gemma":[0.0002308938,0.000323687,0.2676025,0.001029402,0.00016884,0.005110704,0.001558281,0.001081425,0.001716763,0.002175594,0.718914,0.00008792405],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1713469,0.03439601,0.007379889,0.001577043,0.001226729,0.00149355,0.008688252,0.002061503,0.7718301],"genre_scores_gemma":[0.8382728,0.01506135,0.009931744,0.001571348,0.0006553559,0.0008114653,0.008278347,0.0002523949,0.1251652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02769156,"threshold_uncertainty_score":0.08845937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02480489471989947,"score_gpt":0.2173069262105111,"score_spread":0.1925020314906117,"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."}}