{"id":"W6893965703","doi":"10.5281/zenodo.6043854","title":"Clytia gregaria","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Invertebrate Physiology and Ecology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tentacle (botany); Peduncle (anatomy); Table (database); Taxonomy (biology); Genus","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":[0.0001113693,0.0008095557,0.0004422294,0.001952997,0.00143465,0.0004445147,0.0005707981,0.000573627,0.03436446],"category_scores_gemma":[0.0004465462,0.0002387485,0.0003006645,0.0007221503,0.0005343314,0.000679693,0.001587456,0.000436354,0.009889809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008748593,"about_ca_system_score_gemma":0.0004117447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009293543,"about_ca_topic_score_gemma":0.02320692,"domain_scores_codex":[0.9998331,0.00001443416,0.00001158769,0.00005701006,0.00004540699,0.00003847398],"domain_scores_gemma":[0.9998349,0.00001519776,0.00005728403,0.00001814424,0.00004676532,0.00002770542],"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":[0.0006625999,0.0001400437,0.04175055,0.001992859,0.0001071185,0.002463697,0.002073344,0.0007785895,0.0948231,0.0106424,0.1148815,0.7296842],"study_design_scores_gemma":[0.00009317438,0.000277132,0.2847062,0.0006142702,0.00008751771,0.004608803,0.0006923713,0.0003369553,0.003166132,0.00196782,0.7033857,0.00006398769],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2237131,0.02174425,0.006055304,0.001366141,0.0006687641,0.0008829741,0.01083367,0.00222125,0.7325146],"genre_scores_gemma":[0.8722618,0.004105368,0.004461829,0.001374702,0.0002074912,0.0003082769,0.004400135,0.0001830802,0.1126973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03436446,"threshold_uncertainty_score":0.1149606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03815855854936327,"score_gpt":0.2304674484198641,"score_spread":0.1923088898705008,"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."}}