{"id":"W7097105635","doi":"","title":"The Canadian National Site Licensing Project (CNSLP): Canada&amp;apos;s Interim Solution to the Serials Crisis","year":2003,"lang":"en","type":"article","venue":"","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Interim; Negotiation; George (robot)","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004297335,0.000672705,0.000418577,0.002296913,0.01411559,0.01946572,0.003268066,0.01217874,0.06267143],"category_scores_gemma":[0.01472269,0.0006159595,0.000494947,0.003927658,0.006391266,0.005027811,0.003797126,0.008246293,0.009404887],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07507631,"about_ca_system_score_gemma":0.2561327,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.951333,"about_ca_topic_score_gemma":0.9656474,"domain_scores_codex":[0.9916742,0.0004085679,0.0001264631,0.0004401681,0.005352023,0.001998539],"domain_scores_gemma":[0.9912196,0.0007473057,0.0001888092,0.0003906655,0.004893037,0.002560693],"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":[0.00001462353,0.00001895699,0.0006902753,0.00005624575,0.0000035462,0.0001282565,0.0005559469,0.0001715578,0.0001331287,0.1510548,0.826458,0.02071458],"study_design_scores_gemma":[0.000006788161,0.000005541229,0.0009640267,0.0001069208,0.000003664374,0.00003816792,0.0007991872,0.0002067498,0.0001363125,0.004846019,0.9928694,0.00001722556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007070632,0.007308131,0.002847362,0.2265925,0.005269263,0.0002023559,0.002240841,0.000753054,0.747716],"genre_scores_gemma":[0.05921819,0.003818647,0.003061462,0.03858735,0.0007249788,0.00008114597,0.00129817,0.000383582,0.8928264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9805343,"threshold_uncertainty_score":0.5447193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09508474265148059,"score_gpt":0.2916959234320272,"score_spread":0.1966111807805466,"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."}}