{"id":"W6931462040","doi":"10.5281/zenodo.6075105","title":"Collaria meilleurii Provancher 1872","year":2016,"lang":"en","type":"article","venue":"Open MIND","topic":"Sustainable Industrial Ecology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Black spot; Apex (geometry); Collar; Beak; Spots","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001951989,0.00009608861,0.000145051,0.00004134981,0.00003233288,0.00005432303,0.0003279576,0.0001373679,0.01001906],"category_scores_gemma":[0.0001430838,0.00007141485,0.00001971759,0.0001294637,0.00002795209,0.0001908564,0.0001202176,0.00006822719,0.001785728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997967,"about_ca_system_score_gemma":0.0001080962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007974698,"about_ca_topic_score_gemma":0.00006536117,"domain_scores_codex":[0.9993417,0.00002276786,0.0001486107,0.0001562622,0.00006140254,0.0002692227],"domain_scores_gemma":[0.9995741,0.00007547752,0.00002018566,0.000229966,0.0000369878,0.00006324838],"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":[0.00006902213,0.00004928911,0.0005932676,0.0000108692,0.0001340401,0.0001499416,0.0003311555,0.001141032,0.01476679,0.0003433379,0.06268875,0.9197225],"study_design_scores_gemma":[0.001074864,0.00004143522,0.0002266935,0.00001360168,0.000009767306,0.000008680094,0.0001032221,0.0002410728,0.01375838,0.0001591535,0.9842004,0.0001627073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6529399,0.00006380648,0.0003626552,0.001207215,0.001034354,0.0009292674,0.00001510025,0.00002265636,0.343425],"genre_scores_gemma":[0.9640815,0.000006385451,0.001828685,0.00002139567,0.0001848216,0.00005630855,0.00000167914,0.00003547136,0.03378379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9215117,"threshold_uncertainty_score":0.9989915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03231666334408317,"score_gpt":0.2637481339038825,"score_spread":0.2314314705597993,"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."}}