{"id":"W6991091006","doi":"","title":"Fabrication et caractÃ©risation de dÃ©tecteurs Ã  gouttelettes en surchauffe Ã  bas bruit de fond au sein du projet PICASSO","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noise (video); Limiting; Signal processing","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":[0.00107569,0.001352734,0.0004570766,0.001170479,0.001709816,0.002469643,0.001055746,0.001976823,0.02598357],"category_scores_gemma":[0.001708421,0.001045338,0.0007178385,0.0005338808,0.001105779,0.001121502,0.001377041,0.001360919,0.008871179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001367631,"about_ca_system_score_gemma":0.001940569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005998626,"about_ca_topic_score_gemma":0.01363864,"domain_scores_codex":[0.9983712,0.00007565825,0.00003741286,0.0002811702,0.001070367,0.0001642302],"domain_scores_gemma":[0.9991917,0.00009366961,0.00006946742,0.0002096331,0.0003402252,0.00009536216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002681521,0.00013703,0.002476776,0.0006456554,0.00004066658,0.001663022,0.003076201,0.006348454,0.8077181,0.02437904,0.02978557,0.1234613],"study_design_scores_gemma":[0.00004540558,0.0005957342,0.01094033,0.0001363991,0.00004033433,0.001384251,0.00101381,0.009369776,0.5178173,0.0009902572,0.4575502,0.0001162845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4247234,0.00288562,0.2178276,0.001368733,0.004505962,0.00108693,0.001872998,0.008941142,0.3367876],"genre_scores_gemma":[0.3956766,0.000942269,0.2166877,0.0003086733,0.0001414187,0.0004181638,0.001675906,0.001958466,0.3821909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02598357,"threshold_uncertainty_score":0.08692372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005504373194106975,"score_gpt":0.1706481632633662,"score_spread":0.1651437900692592,"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."}}