{"id":"W653841365","doi":"","title":"SURVEY ON USE OF ELECTRONIC COMMERCE TECHNOLOGIES AT INTERMODAL TRANSFER POINTS","year":2000,"lang":"en","type":"article","venue":"","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Port (circuit theory); Business; Complement (music); Baseline (sea); Technology transfer; Marketing; Knowledge management; Computer science; Engineering; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.001722652,0.0001500579,0.0001643935,0.001503957,0.0006256432,0.0007678007,0.0002130057,0.0006233928,0.002790276],"category_scores_gemma":[0.005792022,0.0002042283,0.0001313275,0.001673704,0.0002665452,0.0008825362,0.0005842046,0.0004591446,0.000640995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005487137,"about_ca_system_score_gemma":0.0006249952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008011622,"about_ca_topic_score_gemma":0.01247095,"domain_scores_codex":[0.9982842,0.0007902749,0.0001565816,0.0001244982,0.0004180698,0.0002264146],"domain_scores_gemma":[0.994568,0.002026865,0.00123658,0.0001774392,0.001647887,0.0003432622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001166259,0.0003447669,0.9309556,0.0001607968,0.00002466424,0.0005945065,0.02546506,0.0002172695,0.004329266,0.0002135991,0.0008488851,0.03672907],"study_design_scores_gemma":[0.000004915852,0.0006945512,0.9277852,0.0001020894,0.00001477303,0.000496381,0.06201334,0.0004501933,0.001419316,0.00005857189,0.006936368,0.00002429619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971582,0.00003938024,0.0003051833,0.00007322464,0.000001705678,0.00004273303,0.0002153687,0.000004562786,0.00215979],"genre_scores_gemma":[0.9967005,0.000274404,0.0005098793,0.000113539,0.000003928047,0.0001075952,0.000361177,0.000003223275,0.001925771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008011622,"threshold_uncertainty_score":0.01592994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02459947658099844,"score_gpt":0.2138604668306279,"score_spread":0.1892609902496295,"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."}}