{"id":"W7065194273","doi":"","title":"Devenir parent, Ã©tude d'entretiens avec 34 nouveaux parents","year":2002,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Selection (genetic algorithm); Context (archaeology)","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":[0.0009923616,0.0009301286,0.0005057631,0.001322501,0.00651551,0.002596495,0.0007458015,0.001889937,0.0619267],"category_scores_gemma":[0.005918487,0.0006075728,0.0007696068,0.001287183,0.001012275,0.001468272,0.001470118,0.00187793,0.00876926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005457698,"about_ca_system_score_gemma":0.00791657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3074691,"about_ca_topic_score_gemma":0.3767334,"domain_scores_codex":[0.9989439,0.0002149201,0.00004944724,0.0001832788,0.0003309604,0.0002776159],"domain_scores_gemma":[0.9979663,0.0005196249,0.0001902561,0.00006259697,0.0005066481,0.0007546032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00123905,0.001117363,0.1030465,0.0004094726,0.00008760473,0.03421972,0.05192456,0.001164261,0.003418909,0.0202561,0.2496125,0.5335041],"study_design_scores_gemma":[0.00008180671,0.0006144856,0.1191784,0.0003480235,0.00006356009,0.01226021,0.05132809,0.0005944909,0.003735438,0.00152674,0.8101629,0.0001058552],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7368778,0.01735763,0.009580964,0.03372061,0.006004578,0.0004578116,0.007828572,0.0007189034,0.1874532],"genre_scores_gemma":[0.3604196,0.007482722,0.004141541,0.002412426,0.0003167351,0.0003363199,0.001964169,0.0002546443,0.6226719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3074691,"threshold_uncertainty_score":0.6113589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03047481692190629,"score_gpt":0.2200665484910258,"score_spread":0.1895917315691195,"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."}}