{"id":"W2966786479","doi":"10.11159/icepr19.140","title":"The Five Different Faces of the Diatoms","year":2019,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002206686,0.0003483602,0.0003227477,0.0004138278,0.0008760514,0.001906164,0.0004517163,0.0009255114,0.002323894],"category_scores_gemma":[0.0002879427,0.0001987754,0.0003165105,0.0004807656,0.001089656,0.001290966,0.001345451,0.001325179,0.0007313702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000649709,"about_ca_system_score_gemma":0.0005194447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118271,"about_ca_topic_score_gemma":0.001535181,"domain_scores_codex":[0.9996865,0.00004119861,0.00002133051,0.00007240228,0.0001324814,0.00004604391],"domain_scores_gemma":[0.9998878,0.00001810254,0.00001683463,0.00000871112,0.00003552397,0.00003302327],"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":[0.0005880768,0.00006804692,0.01275755,0.003188824,0.00007905906,0.003286868,0.004309124,0.0006838863,0.4193729,0.1086466,0.0192214,0.4277977],"study_design_scores_gemma":[0.00001537243,0.0002299859,0.02510194,0.0006005865,0.00007910232,0.006469074,0.005711367,0.0006670456,0.05980892,0.03642594,0.8647866,0.0001041951],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2929882,0.3744195,0.05414981,0.03714416,0.004600697,0.0001646969,0.001623742,0.0003268385,0.2345824],"genre_scores_gemma":[0.6440053,0.1917023,0.06249601,0.01016653,0.001077994,0.0001696126,0.001214268,0.00007268814,0.08909528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002323894,"threshold_uncertainty_score":0.007774234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132654456639329,"score_gpt":0.2511945442371097,"score_spread":0.2398679996707164,"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."}}