{"id":"W6920082229","doi":"10.6068/dp14ba7d150a80","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Science and Technology - Research and Development | Country: Canada | Table: Survey of innovation, selected service industries, reasons for involvement of innovative business units in cooperative and collaborative arrangements | Variable: Air transportation, Accessing critical expertise | Units: %, 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-182.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Official statistics; Census; Publication; Service (business); Statistics education; Big data; Statistical analysis; Business statistics","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":[0.002780678,0.00248354,0.00299573,0.01090725,0.00399662,0.006360026,0.005408034,0.001772059,0.106693],"category_scores_gemma":[0.02618747,0.001965506,0.00217825,0.06493859,0.000832242,0.002899505,0.00261141,0.003618321,0.07620497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07386693,"about_ca_system_score_gemma":0.1912518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946933,"about_ca_topic_score_gemma":0.9914705,"domain_scores_codex":[0.9929508,0.000395794,0.0007826292,0.0006835543,0.003619685,0.001567498],"domain_scores_gemma":[0.9344581,0.002470285,0.001553746,0.001596707,0.05750033,0.002420784],"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":[0.00001701631,0.000006570777,0.0006417357,0.0002250787,0.00001183788,0.000005285652,0.00001856999,0.00008179848,0.000007046202,0.0002843493,0.9974741,0.001226522],"study_design_scores_gemma":[0.0001335613,0.00001034944,0.0214275,0.0007929625,0.00005937007,0.00001945605,0.0005566741,0.0002901221,0.0001635338,0.0005666969,0.975899,0.00008078049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003525356,0.00004156754,0.00001782942,0.000117911,0.00002549972,0.00001508439,0.9986707,0.00005081769,0.00102537],"genre_scores_gemma":[0.000807951,0.0003499831,0.0004584237,0.0002040381,0.00002118304,0.000180272,0.9922183,0.0001298792,0.005629982],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.106693,"threshold_uncertainty_score":0.5359446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09584731169461246,"score_gpt":0.3297335669107095,"score_spread":0.2338862552160971,"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."}}