{"id":"W6912466789","doi":"10.5281/zenodo.5888720","title":"Pyropyga nigricans","year":2022,"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":"Action (physics); Line (geometry); Natural (archaeology)","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":[0.00004548883,0.0002395313,0.0001415618,0.0008508243,0.0009165608,0.0001870526,0.0002446728,0.0001552421,0.003734843],"category_scores_gemma":[0.0001254663,0.00008458691,0.0001079671,0.0006219205,0.0002231443,0.0002388132,0.0004052312,0.0002609703,0.001292943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001206383,"about_ca_system_score_gemma":0.0005816777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1651548,"about_ca_topic_score_gemma":0.3506246,"domain_scores_codex":[0.9999548,0.00000232553,0.000002547405,0.0000172385,0.00001353808,0.000009525726],"domain_scores_gemma":[0.9999397,0.000006798226,0.00001371107,0.000004615025,0.00002539303,0.000009766803],"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":[0.001048508,0.0001391496,0.1180294,0.0006778123,0.00008949677,0.003726708,0.003399167,0.001877771,0.3932413,0.005948975,0.01449535,0.4573264],"study_design_scores_gemma":[0.00004317027,0.0001912344,0.7878122,0.0001235129,0.0000779593,0.002943766,0.001978604,0.0006448681,0.011319,0.0006954874,0.1941365,0.00003375263],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8011155,0.0022564,0.001758356,0.0001919153,0.00007259276,0.00008566669,0.003589352,0.0003861991,0.190544],"genre_scores_gemma":[0.9698371,0.0009976503,0.001957888,0.0002550328,0.00001179892,0.00004779943,0.002712599,0.00002741882,0.02415274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1651548,"threshold_uncertainty_score":0.3283869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02514683811519072,"score_gpt":0.2007305443248219,"score_spread":0.1755837062096312,"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."}}