{"id":"W6949982756","doi":"10.5281/zenodo.6304029","title":"Muscicapa aquatica Heuglin 1864","year":2022,"lang":"en","type":"article","venue":"Open MIND","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Water pollution; Context (archaeology); Metis","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":[0.0001333339,0.0006889737,0.0003906966,0.001698226,0.001854554,0.0003940673,0.0005689489,0.0005493474,0.02056346],"category_scores_gemma":[0.0003753969,0.0002424829,0.0001502596,0.001100876,0.0007715072,0.001018459,0.0006450702,0.0004438277,0.006381318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000606425,"about_ca_system_score_gemma":0.0003432102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007570084,"about_ca_topic_score_gemma":0.01910831,"domain_scores_codex":[0.9998139,0.00002286571,0.00002298973,0.00005596019,0.0000569436,0.00002741732],"domain_scores_gemma":[0.9998616,0.00002191044,0.00005928238,0.00001408785,0.00003170236,0.00001144646],"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":[0.0002280287,0.0001411564,0.01976719,0.001128991,0.00007108941,0.001303364,0.0019067,0.0007399532,0.01058473,0.00661951,0.04924792,0.9082613],"study_design_scores_gemma":[0.00002831671,0.0002818823,0.136689,0.000562062,0.00009193304,0.00396591,0.0007736372,0.0003894099,0.001615974,0.001422084,0.8541526,0.00002721423],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1800224,0.03341551,0.005830097,0.001095677,0.001307032,0.001070884,0.005869388,0.0008855588,0.7705034],"genre_scores_gemma":[0.8371172,0.0186796,0.01361393,0.001355628,0.0007473826,0.0004439504,0.003027188,0.00009389358,0.1249213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02056346,"threshold_uncertainty_score":0.06879163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06032642268634174,"score_gpt":0.348602695182968,"score_spread":0.2882762724966262,"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."}}