{"id":"W6930981543","doi":"10.5281/zenodo.4557779","title":"Méthode de classification des milieux humides du Québec boréal à partir de la carte écoforestière du 3e inventaire décennal","year":2006,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Intramuscular injections and effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ducks Unlimited Canada; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Statistical analysis; Serranidae; Developmental stage","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001967372,0.0002688837,0.0002519929,0.0002391199,0.003464828,0.0007592317,0.0004567312,0.0002394525,0.004792679],"category_scores_gemma":[0.001693727,0.0002945683,0.000153833,0.0006049433,0.001460295,0.0002837244,0.0003237511,0.0005670296,0.003640966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507583,"about_ca_system_score_gemma":0.0001471531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009637022,"about_ca_topic_score_gemma":0.0003718512,"domain_scores_codex":[0.9963434,0.001549805,0.0004021855,0.0004694581,0.0003686944,0.0008664989],"domain_scores_gemma":[0.9982842,0.0001265526,0.0001345294,0.0004556559,0.0006204782,0.0003786193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004759048,0.001714472,0.007731753,0.001228197,0.0002830808,0.0005309112,0.007714688,0.002679956,0.05620296,0.0461553,0.7122221,0.1630607],"study_design_scores_gemma":[0.001138344,0.0005124753,0.07600752,0.0003128551,0.0002032261,0.001944982,0.001353899,0.01798783,0.00215151,0.0008780871,0.8972123,0.0002969938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9052091,0.003360016,0.02285638,0.006426577,0.0004160036,0.0008047522,0.0001742768,0.000820785,0.05993213],"genre_scores_gemma":[0.9921861,0.0005130001,0.001056316,0.0002143373,0.001705198,4.050192e-7,0.0008075136,0.001127971,0.002389141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1849902,"threshold_uncertainty_score":0.9999506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03043342869463024,"score_gpt":0.2608749853015021,"score_spread":0.2304415566068719,"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."}}