{"id":"W6937055444","doi":"10.5886/ebybuj","title":"Mycoblitz 2017 - IRBV et Cercle des Mycologues de Montréal","year":2017,"lang":"fr","type":"dataset","venue":"Canadensys","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Council on Foreign Relations","funders":"","keywords":"Context (archaeology); Identification (biology); Subject (documents)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009242046,0.003282721,0.001920307,0.005682255,0.001906121,0.003264323,0.004077669,0.002401027,0.02173268],"category_scores_gemma":[0.005222288,0.0007687004,0.001507783,0.01046548,0.0008264246,0.001455469,0.002054665,0.002233707,0.0232537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009267453,"about_ca_system_score_gemma":0.01153599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7897238,"about_ca_topic_score_gemma":0.88504,"domain_scores_codex":[0.9987314,0.000115234,0.00006854229,0.0003672341,0.0003879143,0.0003295871],"domain_scores_gemma":[0.9974115,0.0003739779,0.0002394325,0.0004397844,0.001081635,0.0004536101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001521098,0.0000269507,0.004940307,0.0008072251,0.00008274865,0.00007860544,0.00007387686,0.0006567913,0.0003239491,0.0007057912,0.9878787,0.004272958],"study_design_scores_gemma":[0.0002295913,0.00002299416,0.02644819,0.0004813461,0.00007386386,0.00009587654,0.0002018859,0.001512843,0.0005834573,0.0008899941,0.9693967,0.00006326007],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007185011,0.0004797798,0.00007506131,0.0001192744,0.00003134483,0.00001339519,0.9971892,0.0003986562,0.0009748039],"genre_scores_gemma":[0.001285183,0.0001582173,0.000231751,0.00004024706,0.000007881342,0.00002777459,0.9974506,0.00004346108,0.0007548606],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2102762,"threshold_uncertainty_score":0.4230291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04504691291207167,"score_gpt":0.3184356420842093,"score_spread":0.2733887291721376,"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."}}