{"id":"W104000489","doi":"","title":"Prediction of Internal Bond Strength in Particleboard from Screw Withdrawal Resistance Models","year":2006,"lang":"en","type":"article","venue":"Wood and Fiber Science (Society of Wood Science and Technology)","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Embedment; Enhanced Data Rates for GSM Evolution; Materials science; Bond strength; Face (sociological concept); Composite material; Structural engineering; Engineering; Adhesive","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003711252,0.0001208106,0.0001867924,0.0002116051,0.0001546183,0.00005035986,0.0003058224,0.0000819233,0.000003091668],"category_scores_gemma":[0.00001434977,0.0001006012,0.00002433337,0.001545998,0.002906681,0.000780566,0.0001082944,0.0001240204,6.632965e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004178622,"about_ca_system_score_gemma":0.00008230832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001225062,"about_ca_topic_score_gemma":0.00007049004,"domain_scores_codex":[0.9987435,0.000003298563,0.0002489739,0.000325167,0.0003704097,0.0003086167],"domain_scores_gemma":[0.9995767,0.00001525167,0.00005675792,0.0001958594,0.0001057888,0.00004967278],"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":[0.00005015693,0.0002988953,0.08406518,0.0001687856,0.00005935241,0.000005041767,0.006317088,0.0007731474,0.8670924,0.01093962,0.001206394,0.02902396],"study_design_scores_gemma":[0.001538164,0.0003421787,0.02514922,0.0004029525,0.00003664368,0.000006918277,0.003360671,0.07280502,0.870595,0.0247479,0.0006447734,0.000370525],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963618,0.00143876,0.0000744131,0.0001966326,0.00004348517,0.00009637533,0.00002233619,0.00007893979,0.001687263],"genre_scores_gemma":[0.9935367,0.0001454857,0.00624136,0.000007943818,0.00001090685,0.000006921597,6.965219e-7,0.000004897564,0.00004510333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07203187,"threshold_uncertainty_score":0.9998068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008710388670125921,"score_gpt":0.1820901205650936,"score_spread":0.1733797318949677,"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."}}