{"id":"W7010098236","doi":"","title":"Ãge et fertilité masculine : une analyse biodémographique","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Focus (optics); Subject (documents); Set (abstract data type); Government (linguistics)","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":[0.0008031383,0.0006339028,0.0003939985,0.001905013,0.0008736577,0.001460625,0.0003623907,0.0006535168,0.0164892],"category_scores_gemma":[0.001811063,0.0002648886,0.0004614589,0.002202608,0.0007414655,0.0004947942,0.0004292193,0.000843199,0.002481856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002604458,"about_ca_system_score_gemma":0.00314156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3393353,"about_ca_topic_score_gemma":0.2992635,"domain_scores_codex":[0.9994289,0.00006818235,0.00001722628,0.00009864078,0.000328424,0.0000584556],"domain_scores_gemma":[0.9993204,0.0002760996,0.0000624261,0.00003296678,0.0002673626,0.000040872],"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":[0.002229157,0.0002584457,0.1397569,0.001341133,0.0003770839,0.002944197,0.006027278,0.00263416,0.08304555,0.01803155,0.02925155,0.714103],"study_design_scores_gemma":[0.00007952887,0.0002514509,0.7820605,0.0002340952,0.000125122,0.00187793,0.001357955,0.001331573,0.01022931,0.001236946,0.2011355,0.00007995976],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6525808,0.05115982,0.02815955,0.002477269,0.0009963216,0.0003759782,0.02044066,0.0006929736,0.2431166],"genre_scores_gemma":[0.7279991,0.02978314,0.01883789,0.0006931417,0.0005728034,0.0003599592,0.003785817,0.0004727961,0.2174954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3393353,"threshold_uncertainty_score":0.6747202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004191290186623263,"score_gpt":0.1566464294896241,"score_spread":0.1524551393030008,"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."}}