{"id":"W7097875678","doi":"","title":"Conclusions References Tables Figures","year":2004,"lang":"en","type":"article","venue":"","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publics; Quarter (Canadian coin); Public access; Government (linguistics); Private sector","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009215974,0.001404731,0.001282166,0.007079133,0.001105356,0.008856296,0.001603874,0.001764677,0.7353162],"category_scores_gemma":[0.009230235,0.0006996272,0.001900226,0.01098164,0.0004181578,0.00381372,0.001499736,0.001973515,0.433371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002725422,"about_ca_system_score_gemma":0.003991355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04364256,"about_ca_topic_score_gemma":0.02106129,"domain_scores_codex":[0.998811,0.0001174814,0.0001024615,0.0002310706,0.0005909133,0.0001470191],"domain_scores_gemma":[0.996039,0.0005110764,0.0002975574,0.0004187917,0.002511981,0.0002215124],"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":[0.00007707736,0.00002655745,0.0009852779,0.0009427648,0.00007111976,0.00008592215,0.00004852051,0.00135359,0.00008028562,0.006764017,0.9611582,0.02840673],"study_design_scores_gemma":[0.00008897634,0.0000107138,0.002628076,0.0008817299,0.0000416594,0.00003415012,0.0001818075,0.0002804144,0.0001162631,0.004484873,0.9912305,0.00002085344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001443604,0.003797025,0.003168885,0.005472769,0.0124394,0.0006778409,0.5604469,0.003099707,0.4094538],"genre_scores_gemma":[0.02089956,0.01251656,0.009945253,0.002583938,0.003307978,0.0008858698,0.6471263,0.003198256,0.2995363],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2646838,"threshold_uncertainty_score":0.3775393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7390008015493968,"score_gpt":0.6213030290546234,"score_spread":0.1176977724947734,"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."}}